Relevant bibliographies by topics / Mobile mapping system

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  2. Dissertations / Theses
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Academic literature on the topic 'Mobile mapping system'

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Published: 4 June 2021
Last updated: 17 June 2025

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Journal articles on the topic "Mobile mapping system"

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ISHIKAWA, Kiichiro. "Road Survey Using Mobile Mapping System." Journal of the Japan Society for Precision Engineering 79, no. 5 (2013): 397–400. http://dx.doi.org/10.2493/jjspe.79.397.

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Wan, Rui, Yuchun Huang, Rongchang Xie, and Ping Ma. "Combined Lane Mapping Using a Mobile Mapping System." Remote Sensing 11, no. 3 (2019): 305. http://dx.doi.org/10.3390/rs11030305.

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High-definition mapping of 3D lane lines has been widely needed for the highway documentation and intelligent navigation of autonomous systems. A mobile mapping system (MMS) captures both accurate 3D LiDAR point clouds and high-resolution images of lane markings at highway driving speeds, providing an abundant data source for combined lane mapping. This paper aims to map lanes with an MMS. The main contributions of this paper include the following: (1) an intensity correction method was introduced to eliminate the reflectivity inconsistency of road-surface LiDAR points; (2) a self-adaptive thresholding method was developed to extract lane markings from their complicated surroundings; and (3) a LiDAR-guided textural saliency analysis of MMS images was proposed to improve the robustness of lane mapping. The proposed method was tested with a dataset acquired in Wuhan, Hubei, China, which contained straight roads, curved roads, and a roundabout with various pavement markings and a complex roadside environment. The experimental results achieved a recall of 96.4%, a precision of 97.6%, and an F-score of 97.0%, demonstrating that the proposed method has strong mapping ability for various urban roads.
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Ke-fei, Zhang, and Xiao Ben-lin. "GPS and mobile multisensor mapping system." Wuhan University Journal of Natural Sciences 8, no. 2 (2003): 557–65. http://dx.doi.org/10.1007/bf02899819.

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Jing, H., N. Slatcher, X. Meng, and G. Hunter. "MONITORING CAPABILITIES OF A MOBILE MAPPING SYSTEM BASED ON NAVIGATION QUALITIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 625–31. http://dx.doi.org/10.5194/isprs-archives-xli-b1-625-2016.

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Mobile mapping systems are becoming increasingly popular as they can build 3D models of the environment rapidly by using a laser scanner that is integrated with a navigation system. 3D mobile mapping has been widely used for applications such as 3D city modelling and mapping of the scanned environments. However, accurate mapping relies on not only the scanner’s performance but also on the quality of the navigation results (accuracy and robustness) . This paper discusses the potentials of using 3D mobile mapping systems for landscape change detection, that is traditionally carried out by terrestrial laser scanners that can be accurately geo-referenced at a static location to produce highly accurate dense point clouds. Yet compared to conventional surveying using terrestrial laser scanners, several advantages of mobile mapping systems can be identified. A large area can be monitored in a relatively short period, which enables high repeat frequency monitoring without having to set-up dedicated stations. However, current mobile mapping applications are limited by the quality of navigation results, especially in different environments. The change detection ability of mobile mapping systems is therefore significantly affected by the quality of the navigation results. This paper presents some data collected for the purpose of monitoring from a mobile platform. The datasets are analysed to address current potentials and difficulties. The change detection results are also presented based on the collected dataset. Results indicate the potentials of change detection using a mobile mapping system and suggestions to enhance quality and robustness.
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Jing, H., N. Slatcher, X. Meng, and G. Hunter. "MONITORING CAPABILITIES OF A MOBILE MAPPING SYSTEM BASED ON NAVIGATION QUALITIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 625–31. http://dx.doi.org/10.5194/isprsarchives-xli-b1-625-2016.

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Mobile mapping systems are becoming increasingly popular as they can build 3D models of the environment rapidly by using a laser scanner that is integrated with a navigation system. 3D mobile mapping has been widely used for applications such as 3D city modelling and mapping of the scanned environments. However, accurate mapping relies on not only the scanner’s performance but also on the quality of the navigation results (accuracy and robustness) . This paper discusses the potentials of using 3D mobile mapping systems for landscape change detection, that is traditionally carried out by terrestrial laser scanners that can be accurately geo-referenced at a static location to produce highly accurate dense point clouds. Yet compared to conventional surveying using terrestrial laser scanners, several advantages of mobile mapping systems can be identified. A large area can be monitored in a relatively short period, which enables high repeat frequency monitoring without having to set-up dedicated stations. However, current mobile mapping applications are limited by the quality of navigation results, especially in different environments. The change detection ability of mobile mapping systems is therefore significantly affected by the quality of the navigation results. This paper presents some data collected for the purpose of monitoring from a mobile platform. The datasets are analysed to address current potentials and difficulties. The change detection results are also presented based on the collected dataset. Results indicate the potentials of change detection using a mobile mapping system and suggestions to enhance quality and robustness.
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Al-Hamad, A., and N. El-Sheimy. "Smartphones Based Mobile Mapping Systems." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5 (June 5, 2014): 29–34. http://dx.doi.org/10.5194/isprsarchives-xl-5-29-2014.

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The past 20 years have witnessed an explosive growth in the demand for geo-spatial data. This demand has numerous sources and takes many forms; however, the net effect is an ever-increasing thirst for data that is more accurate, has higher density, is produced more rapidly, and is acquired less expensively. For mapping and Geographic Information Systems (GIS) projects, this has been achieved through the major development of Mobile Mapping Systems (MMS). MMS integrate various navigation and remote sensing technologies which allow mapping from moving platforms (e.g. cars, airplanes, boats, etc.) to obtain the 3D coordinates of the points of interest. Such systems obtain accuracies that are suitable for all but the most demanding mapping and engineering applications. However, this accuracy doesn't come cheaply. As a consequence of the platform and navigation and mapping technologies used, even an "inexpensive" system costs well over 200 000 USD. Today's mobile phones are getting ever more sophisticated. Phone makers are determined to reduce the gap between computers and mobile phones. Smartphones, in addition to becoming status symbols, are increasingly being equipped with extended Global Positioning System (GPS) capabilities, Micro Electro Mechanical System (MEMS) inertial sensors, extremely powerful computing power and very high resolution cameras. Using all of these components, smartphones have the potential to replace the traditional land MMS and portable GPS/GIS equipment. This paper introduces an innovative application of smartphones as a very low cost portable MMS for mapping and GIS applications.
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Yu, Peidong, Mengke Wang, and Huanjian Chen. "Integration and evaluation of SLAM-based backpack mobile mapping system." E3S Web of Conferences 206 (2020): 03014. http://dx.doi.org/10.1051/e3sconf/202020603014.

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Mobile mapping is an efficient technology to acquire spatial data of the environment. As a supplement of vehicle-borne and air-borne methods, Backpack mobile mapping system (MMS) has a wide application prospect in indoor and underground space. High-precision positioning and attitude determination are the key to MMS. Usually, GNSS/INS integrated navigation system provides reliable pose information. However, in the GNSS-denied environments, there is no effective long-term positioning method. With the development of simultaneous localization and mapping (SLAM) algorithm, it provides a new solution for indoor mobile mapping. This paper develops a portable backpack mobile mapping system, which integrates multi-sensor such as LiDAR, IMU, GNSS and panoramic camera. The 3D laser SLAM algorithm is applied to the mobile mapping to realize the acquisition of geographic information data in various complex environments. The experimental results in typical indoor and outdoor scenes show that the system can achieve high-precision and efficient acquisition of 3D information, and the relative precision of point cloud is 2~4cm, which meets the requirements of scene mapping and reconstruction.
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HYUN, Sekwon, and Myung Sik DO. "Artificial Intelligence Based Road Cracks Detection Using Drone and Mobile Mapping System." Journal of Korean Society of Transportation 39, no. 4 (2021): 555–64. http://dx.doi.org/10.7470/jkst.2021.39.4.555.

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Al-Hamad, A., A. Moussa, and N. El-Sheimy. "Video-based Mobile Mapping System Using Smartphones." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1 (November 7, 2014): 13–18. http://dx.doi.org/10.5194/isprsarchives-xl-1-13-2014.

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The last two decades have witnessed a huge growth in the demand for geo-spatial data. This demand has encouraged researchers around the world to develop new algorithms and design new mapping systems in order to obtain reliable sources for geo-spatial data. Mobile Mapping Systems (MMS) are one of the main sources for mapping and Geographic Information Systems (GIS) data. MMS integrate various remote sensing sensors, such as cameras and LiDAR, along with navigation sensors to provide the 3D coordinates of points of interest from moving platform (e.g. cars, air planes, etc.). Although MMS can provide accurate mapping solution for different GIS applications, the cost of these systems is not affordable for many users and only large scale companies and institutions can benefits from MMS systems. <br><br> The main objective of this paper is to propose a new low cost MMS with reasonable accuracy using the available sensors in smartphones and its video camera. Using the smartphone video camera, instead of capturing individual images, makes the system easier to be used by non-professional users since the system will automatically extract the highly overlapping frames out of the video without the user intervention. Results of the proposed system are presented which demonstrate the effect of the number of the used images in mapping solution. In addition, the accuracy of the mapping results obtained from capturing a video is compared to the same results obtained from using separate captured images instead of video.
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Gonçalves, J. A., and A. Pinhal. "MOBILE MAPPING SYSTEM BASED ON ACTION CAMERAS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1 (September 26, 2018): 167–71. http://dx.doi.org/10.5194/isprs-archives-xlii-1-167-2018.

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<p><strong>Abstract.</strong> Action cameras can operate in outdoor conditions, such as outside a car, and provide good quality imagery that can be exploited to collect geospatial data by photogrammetric means. Recent models include GPS, which can deliver position and time of individual images and video frames. That is the case of the very popular camera, Gopro Hero 5. This paper describes the implementation of a mobile mapping system, based on a GoPro Hero 5 camera mounted on the side rearview mirror of a car. Although the system can be dependent on the camera GPS positions only, it was developed to include a GNSS dual frequency receiver, carried inside the car, on the dashboard. Within good observation conditions, without tall buildings, differential positioning (either RTK or PPK) provides the trajectory with accuracy of a few centimetres. The precise time of individual frames is obtained from the camera GPS and positions are interpolated from the GNSS receiver. Assuming the car moves in a horizontal plane and the camera has no significant tilts, the system is treated in planimetric terms, with camera axis azimuth derived from the vehicle trajectory. Positions of observed objects, such as traffic signs, are derived from consecutive frames. Tests carried out in a sparse urban environment have shown planimetric accuracy better than 40<span class="thinspace"></span>cm, appropriate for large scale mapping, such as 1<span class="thinspace"></span>:<span class="thinspace"></span>2000. The system can be improved in several forms, through processing techniques, such as structure from motion, but without the incorporation of additional hardware.</p>
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Dissertations / Theses on the topic "Mobile mapping system"

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Ceroni, Rodrigo. "Mobile Mapping System." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016.

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Nella tesi si espone il Mobile Mapping System, cioè il rilevamento di dati geospaziali utilizzando sensori montati a bordo di appositi veicolo senza l'ausilio di punti di contatto a terra. Si illustrano i diversi dispositivi del sistema installati a bordo, le loro diverse applicazioni e metodologie di rilevamento. Si trattano le varie problematiche sorte e le loro risoluzioni.
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Nováčková, Soňa. "Testování přesnosti mobilního mapovacího systému MOMAS." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2012. http://www.nusl.cz/ntk/nusl-225361.

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The aim of this thesis is to introduce the mobile mapping system MOMAS, which is owned by Geodis Brno, spol. s.r.o. and test the accuracy of the system. Perform data collection and processing of data in the workplace company Geodis. In addition, identical target points, determine their coordinates and compare them with the coordinates obtained MOMAS system. And finally processed statistically derived coordinate differences.
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Chaplin, Bruce Alan. "Motion estimation from stereo image sequences for a mobile mapping system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0020/MQ48058.pdf.

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Tavasci, Luca. "Metodi per l'ottimizzazione di rilievi Mobile Mapping System in aree urbane." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2009. http://amslaurea.unibo.it/335/.

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Gomes, Pedro Miguel de Barros. "LADAR based mapping and obstacle detection system for service robots." Master's thesis, Faculdade de Ciências e Tecnologia, 2010. http://hdl.handle.net/10362/4589.

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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores<br>When travelling in unfamiliar environments, a mobile service robot needs to acquire information about his surroundings in order to detect and avoid obstacles and arrive safely at his destination. This dissertation presents a solution for the problem of mapping and obstacle detection in indoor/outdoor structured3 environments, with particular application on service robots equipped with a LADAR. Since this system was designed for structured environments, offroad terrains are outside the scope of this work. Also, the use of any a priori knowledge about LADAR’s surroundings is discarded, i.e. the developed mapping and obstacle detection system works in unknown environments. In this solution, it is assumed that the robot, which carries the LADAR and the mapping and obstacle detection system, is based on a planar surface which is considered to be the ground plane. The LADAR is positioned in a way suitable for a three dimensional world and an AHRS sensor is used to increase the robustness of the system to variations on robot’s attitude, which, in turn, can cause false positives on obstacle detection. The results from the experimental tests conducted in real environments through the incorporation on a physical robot suggest that the developed solution can be a good option for service robots driving in indoor/outdoor structured environments.
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Reichenbacher, Tumasch. "Mobile cartography : adaptive visualisation of geographic information on mobile devices /." München : Verlag Dr. Hut, 2004. http://purl.fcla.edu/UF/lib/MobileCartography.pdf.

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Barry, Jeremy Jude. "Map Creation and Position Correction for an Off the Shelf Mobile Robotic System." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/33063.

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<p>Robots are widely used in domestic and commercial applications. These applications typically involve robots built for a specific the task, thus leading to efficiency in task completion. However, with the increase in completion efficiency comes an increase in the time required for completion of the whole system. Specific tasks create the need for many different robots, all with differing capabilities, causing an increase in development cost and time needed.<p> This raises the issue of whether using an off the shelf system with minor modifications can accurately perform the same tasks. If so, more time can be spent on refining the process leading to completion of the task, resulting in less time spent developing the robot. Consequently, less cost in the life cycle of the system leads to less cost for the end user, thus allowing robots to be used for more applications. <p> This thesis explores using a commercially available robot, Acroname Inc.â s Garcia, to perform mapping and localization tasks. As the robot travels it gathers data about the environment. This data is processed in Matlab and the result of the algorithm is a map. In the creation of the map, mathematical morphology is explored as a means to reduce noise. When the robot has located a corner, Matlab provides the robot with a position estimate correction. This correction allows the robot to better estimate its location resulting in a more accurate map. As the results of this thesis illustrate, with very minor modifications, the robot is capable of accurately performing mapping and localization tasks. The results demonstrate that an off the shelf system is capable of accurately performing tasks for which it was not specifically designed.<br>Master of Science
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Soheilian, Khorzoughi Bahman. "Roadmark reconstruction from stereo-images acquired by a ground-based mobile mapping system." Phd thesis, Université Paris-Est, 2008. http://tel.archives-ouvertes.fr/tel-00296601.

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Despite advances in ground-based Mobile Mapping System (MMS), automatic feature reconstruction seems far from being reached. In this thesis, we focus on 3D roadmark reconstruction from images acquired by road looking cameras of a MMS stereo-rig in dense urban context. A new approach is presented, that uses 3D geometric knowledge of roadmarks and provides a centimetric 3D accuracy with a low level of generalisation. Two classes of roadmarks are studied: zebra-crossing and dashed-lines. The general strategy consists in three main steps. The first step provides 3D linked-edges. Edges are extracted in the left and right images. Then a matching algorithm that is based on dynamic programming optimisation matches the edges between the two images. A sub-pixel matching is computed by post processing and 3D linked-edges are provided by classical photogrammetric triangulation. The second step uses the known specification of roadmarks to perform a signature based filtering of 3D linked-edges. This step provides hypothetical candidates for roadmark objects. The last step can be seen as a validation step that rejects or accepts the candidates. The validated candidates are finely reconstructed. The adopted model consists of a quasi parallelogram for each strip of zebra-crossing or dashed-line. Each strip is constrained to be flat but the roadmark as a whole is not planar. The method is evaluated on a set of 150 stereo-pairs acquired in a real urban area under normal traffic conditions. The results show the validity of the approach in terms of robustness, completeness and geometric accuracy. The method is robust and deals properly with partially occluded roadmarks as well as damaged or eroded ones. The detection rate reaches 90% and the 3D accuracy is about 2-4 cm. Finally an application of reconstructed roadmarks is presented. They are used in georeferencing of the system. Most of the MMSs use direct georeferencing devices such as GPS/INS for their localisation. However in urban areas masks and multi-path errors corrupt the measurements and provide only 50 cm accuracy. In order to improve the localisation quality, we aim at matching ground-based images with calibrated aerial images of the same area. For this purpose roadmarks are used as matching objects. The validity of this method is demonstrated on a zebra-crossing example
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Soheilian, Bahman. "Roadmark reconstruction from stereo-images acquired by a ground-based mobile mapping system." Thesis, Paris Est, 2008. http://www.theses.fr/2008PEST0260/document.

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Malgré les récentes avancées des Systèmes de Cartographie Mobile, la reconstruction automatique d’objets à partir des données acquises est encore un point crucial. Dans cette thèse, nous nous intéresserons en particulier à la reconstruction tridimensionnelle du marquage au sol à partir d’images acquises sur le réseau routier par une base stéréoscopique horizontale d’un système de cartographie mobile, dans un contexte urbain dense. Une nouvelle approche s’appuyant sur la connaissance de la géométrie 3D des marquages au sol est présentée, conduisant à une précision de reconstruction 3D centimétrique avec un faible niveau de généralisation. Deux objets de la signalisation routière horizontale sont étudiés : les passages piétons et les lignes blanches discontinues. La stratégie générale est composée de trois grandes étapes. La première d’entre elles permet d’obtenir des chaînes de contours 3D. Les contours sont extraits dans les images gauche et droite. Ensuite, un algorithme reposant sur une optimisation par programmation dynamique est mis en oeuvre pour apparier les points de contours des deux images. Un post-traitement permet un appariement sub-pixellique, et, les chaînes de contours 3D sont finalement obtenues par une triangulation photogrammétrique classique. La seconde étape fait intervenir les spécifications géométriques des marquages au sol pour réaliser un filtrage des chaînes de contours 3D. Elle permet de déterminer des candidats pour les objets du marquage au sol. La dernière étape peut être vue comme une validation permettant de rejeter ou d’accepter ces hypothèses. Les candidats retenus sont alors reconstruits finement. Pour chaque bande d’un passage piéton ou d’une ligne discontinue, le modèle est un quasi-parallélogramme. Une contrainte de planéité est imposée aux sommets de chaque bande, ce qui n’est pas le cas pour l’ensemble des bandes formant un marquage au sol particulier. La méthode est évaluée sur un ensemble de 150 paires d’images acquises en centre ville dans des conditions normales de trafic. Les résultats montrent la validité de notre stratégie en terme de robustesse, de complétude et de précision géométrique. La méthode est robuste et permet de gérer les occultations partielles ainsi que les marquages usés ou abîmés. Le taux de détection atteint 90% et la précision de reconstruction 3D est de l’ordre de 2 à 4 cm. Finalement, une application de la reconstruction des marquages au sol est présentée : le géoréférencement du système d’acquisition. La majorité des systèmes de cartographie mobile utilisent des capteurs de géoréférencement direct comme un couplage GPS/INS pour leur localisation. Cependant, en milieu urbain dense, les masques et les multi-trajets corrompent les mesures et conduisent à une précision d’environ 50 cm. Afin d’améliorer la qualité de localisation, nous cherchons à apparier les images terrestres avec des images aériennes calibrées de la même zone. Les marquages au sol sont alors utilisés comme objets d’appariement. La validité de la méthode est démontrée sur un exemple de passage piéton<br>Despite advances in ground-based Mobile Mapping System (MMS), automatic feature reconstruction seems far from being reached. In this thesis, we focus on 3D roadmark reconstruction from images acquired by road looking cameras of a MMS stereo-rig in dense urban context. A new approach is presented, that uses 3D geometric knowledge of roadmarks and provides a centimetric 3D accuracy with a low level of generalisation. Two classes of roadmarks are studied: zebra-crossing and dashed-lines. The general strategy consists in three main steps. The first step provides 3D linked-edges. Edges are extracted in the left and right images. Then a matching algorithm that is based on dynamic programming optimisation matches the edges between the two images. A sub-pixel matching is computed by post processing and 3D linked-edges are provided by classical photogrammetric triangulation. The second step uses the known specification of roadmarks to perform a signature based filtering of 3D linked-edges. This step provides hypothetical candidates for roadmark objects. The last step can be seen as a validation step that rejects or accepts the candidates. The validated candidates are finely reconstructed. The adopted model consists of a quasi parallelogram for each strip of zebra-crossing or dashed-line. Each strip is constrained to be flat but the roadmark as a whole is not planar. The method is evaluated on a set of 150 stereo-pairs acquired in a real urban area under normal traffic conditions. The results show the validity of the approach in terms of robustness, completeness and geometric accuracy. The method is robust and deals properly with partially occluded roadmarks as well as damaged or eroded ones. The detection rate reaches 90% and the 3D accuracy is about 2-4 cm. Finally an application of reconstructed roadmarks is presented. They are used in georeferencing of the system. Most of the MMSs use direct georeferencing devices such as GPS/INS for their localisation. However in urban areas masks and multi-path errors corrupt the measurements and provide only 50 cm accuracy. In order to improve the localisation quality, we aim at matching ground-based images with calibrated aerial images of the same area. For this purpose roadmarks are used as matching objects. The validity of this method is demonstrated on a zebra-crossing example
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Al, Shaiba Omar. "Update urban basemap by using the LiDAR mobile mapping system : the case of Abu Dhabi municipal system." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/669771.

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Basemaps are the main resource used in urban planning and in building and infrastructure asset management. These maps are used by citizens and by private and public stakeholders. Therefore, accurate, up-to-date geoinformation of reference are needed to provide a good service. In general, basemaps have been updated by aerial photogrammetry or field surveying, but these methods are not always possible and alternatives need to be sought. Current limitations and challenges that face traditional field surveys include areas with extreme weather, deserts or artic environments, and flight restrictions due to proximity with other countries if there is not an agreement. In such cases, alternatives for large-scale are required. This thesis proposes the use of a mobile mapping system (MMS) to update urban basemaps. Most urban features can be extracted from point cloud using commercial software or open libraries. However, there are some exceptions: manhole covers, or hidden elements even with captures from defferent perspective, the most common building corners. Therefore, the main objective of this study was to establish a methodology for extracting manholes automatically and for completing hidden corners of buildings, so that urban basemaps can be updated. The algorithm developed to extract manholes is based on time, intensity and shape detection parameters, whereas additional information from satellite images is used to complete buildings. Each municipality knows the materials and dimensions of its manholes. Taking advantage of this knowledge, the point cloud is filtered to classify points according to the set of intensity values associated with the manhole material. From the classified points, the minimum bounding rectangles (MBR) are obtained and finally the shape is adjusted and drawn. We use satellite imagery to automatically digitize the layout of building footprints with automated software tools. Then, the visible corners of buildings from the LiDAR point cloud are imported and a fitting process is performed by comparing them with the corners of the building from the satellite image. Two methods are evaluated to establish which is the most suitable for adjustment in these conditions. In the first method, the differences in X and Y directions are measured in the corners, where LiDAR and satellite data are available, and is often computed as the average of the offsets. In the second method, a Helmert 2D transformation is applied. MMS involves Global Navigation Satellite Systems (GNSS) and Inertial Measurement Units (IMU) to georeference point clouds. Their accuracy depends on the acquisition environment. In this study, the influence of the urban pattern is analysed in three zones with varied urban characteristics: different height buildings, open areas, and areas with a low and high level of urbanization. To evaluate the efficiency of the proposed algorithms, three areas were chosen with varying urban patterns in Abu Dhabi. In these areas, 3D urban elements (light poles, street signs, etc) were automatically extracted using commercial software. The proposed algorithms were applied to the manholes and buildings. The completeness and correctness ratio, and geometric accuracy were calculated for all urban elements in the three areas. The best success rates (>70%) were for light poles, street signs and road curbs, regardless of the height of the buildings. The worst rate was obtained for the same features in peri-urban areas, due to high vegetation. In contrast, the best results for trees were found in theses areas. Our methodology demonstrates the great potential and efficiency of mobile LiDAR technology in updating basemaps; a process that is required to achieve standard accuracy in large scale maps. The cost of the entire process and the time required for the proposed methodology was calculated and compared with the traditional method. It was found that mobile LiDAR could be a standard cost-efficient procedure for updating maps.<br>La cartografía de referencia es la principal herramienta en planificación urbanística, y gestión de infraestructuras y edificios, al servicio de ciudadanos, empresas y administración. Por esta razón, debe estar actualizada y ser lo más precisa posible. Tradicionalmente, la cartografía se actualiza mediante fotogrametría aérea o levantamientos terrestres. No obstante, deben buscarse alternativas válidas para escalas grandes, porque no siempre es posible emplear estas técnicas debido a las limitaciones y retos actuales a los que se enfrenta la medición tradicional en algunas zonas del planeta, con meteorología extrema o restricciones de vuelo por la proximidad a la frontera con otros países. Esta tesis propone el uso del sistema Mobile Mapping System (MMS) para actualizar la cartografía urbana de referencia. La mayoría de los elementos pueden extraerse empleando software comercial o librerías abiertas, excepto los registros de servicios. Los elementos ocultos son otro de los inconvenientes encontrados en el proceso de creación o actualización de la cartografía, incluso si se dispone de capturas desde diferentes puntos de vista. El caso más común es el de las esquinas de edificios. Por ello, el principal objetivo de este estudio es establecer una metodología de extracción automática de los registros y completar las esquinas ocultas de los edificios para actualizar cartografía urbana. El algoritmo desarrollado para la detección y extracción de registros se basa en parámetros como el tiempo, la intensidad de la señal laser y la forma de los registros, mientras que para completar los edificios se emplea información adicional de imágenes satélite. Aprovechando el conocimiento del material y dimensión de los registros, en disposición de los gestores municipales, el algoritmo propuesto filtra y clasifica los puntos de acuerdo a los valores de intensidad. De aquellos clasificados como registros se calcula el mínimo rectángulo que los contiene (Minimum Bounding Rectangle) y finalmente se ajusta la forma y se dibuja. Las imágenes de satélite son empleadas para obtener automáticamente la huella de los edificios. Posteriormente, se importan las esquinas visibles de los edificios obtenidas desde la nube de puntos y se realiza el ajuste comparándolas con las obtenidas desde satélite. Para llevar a cabo este ajuste se han evaluado dos métodos, el primero de ellos considera las diferencias entre las coordenadas XY, desplazándose el promedio. En el segundo, se aplica una transformación Helmert2D. MMS emplea sistemas de navegación global por satélite (Global Navigation Satellite Systems, GNSS) e inerciales (Inertial Measurement Unit, IMU) para georreferenciar la nube de puntos. La precisión de estos sistemas de posicionamiento depende del entorno de adquisición. Por ello, en este estudio se han seleccionado tres áreas con distintas características urbanas (altura de edificios, nivel de urbanización y áreas abiertas) de Abu Dhabi con el fin de analizar su influencia, tanto en la captura, como en la extracción de los elementos. En el caso de farolas, señales viales, árboles y aceras se ha realizado con software comercial, y para registros y edificios con los algoritmos propuestos. Las ratios de corrección y completitud, y la precisión geométrica se han calculado en las diferentes áreas urbanas. Los mejores resultados se han conseguido para las farolas, señales y bordillos, independientemente de la altura de los edificios. La peor ratio se obtuvo para los mismos elementos en áreas peri-urbanas, debido a la vegetación. Resultados opuestos se han conseguido en la detección de árboles. El coste económico y en tiempo de la metodología propuesta resulta inferior al de métodos tradicionales. Lo cual demuestra el gran potencial y eficiencia de la tecnología LiDAR móvil para la actualización cartografía de referencia
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Books on the topic "Mobile mapping system"

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Bayoud, Fadi Atef. Development of a robotic mobile mapping system by vision-aided inertial navigation: A geomatics approach. Institut für Geodäsie und Photogrammetrie, Eidgenössische Technische Hochschule Zürich, 2006.

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Wilmott, Clancy. Mobile Mapping. Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789462984530.

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This book argues for a theory of mobile mapping, a situated and spatial approach towards researching how everyday digital mobile media practices are bound up in global systems of knowledge and power. Drawing from literature in media studies and geography -- and the work of Michel Foucault and Doreen Massey -- it examines how geographical and historical material, social, and cultural conditions are embedded in the way in which contemporary (digital) cartographies are read, deployed, and engaged. This is explored through seventeen walking interviews in Hong Kong and Sydney, as potent discourses like cartographic reason continue to transform and weave through the world in ways that haunt mobile mapping and bring old conflicts into new media. In doing so, Mobile Mapping offers an interdisciplinary rethinking about how multiple translations of spatial knowledges between rational digital epistemologies and tacit ways of understanding space and experience might be conceptualized and researched.
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Liqiu, Meng, Zipf Alexander, and Reichenbacher Tumasch, eds. Map-based mobile services. Springer, 2005.

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Reichenbacher, Tumasch. Mobile cartography: Adaptive visualisation of geographic information on mobile devices. Verlag Dr. Hut, 2004.

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Milford, Michael John. Robot navigation from nature: Simultaneous localisation, mapping, and path planning based on hippocampal models. Springer, 2008.

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Benkeser, Christian. Power efficiency and the mapping of communication algorithms into VLSI. Hartung-Gorre, 2010.

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Allan, Alasdair. Geolocation in IOS: Mobile Positioning and Mapping on iPhone and iPad. O'Reilly Media, Incorporated, 2012.

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Allan, Alasdair. Geolocation in IOS: Mobile Positioning and Mapping on IPhone and IPad. O'Reilly Media, Incorporated, 2012.

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3d Robotic Mapping The Simultaneous Localization And Mapping Problem With Six Degrees Of Freedom. Springer, 2009.

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Development of a robotic mobile mapping system by vision-aided inertial navigation: A geomatics approach. Institut für Geodäsie und Photogrammetrie, Eidgenössische Technische Hochschule Zürich, 2006.

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Book chapters on the topic "Mobile mapping system"

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Kim, Jeong Hyun, Dong-Hoon Jeong, and Byung-Guk Kim. "Photograph Database for Highway Facility Management in Mobile Mapping System." In Computational Science and Its Applications - ICCSA 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11751588_104.

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Masiero, Andrea, Francesca Fissore, Alberto Guarnieri, Antonio Vettore, and Ugo Coppa. "Development and Initial Assessment of a Low Cost Mobile Mapping System." In R3 in Geomatics: Research, Results and Review. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62800-0_10.

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Ángel-López, Juan Pablo, and Santiago Murillo-Rendón. "Environment Mapping with Mobile Robot Guided by a Markers Vision System." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61118-1_19.

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Choi, Nak-Jung, Ji-In Kim, Jin-Ho Park, and Seok-Joo Koh. "OpenFlow-Based Implementations of Distributed ID-LOC Mapping System in Mobile Internet." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41671-2_10.

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Mazlan, Maziatun Mohamad, Nur Aqilah Othman, and Hamzah Ahmad. "Diagonalization of Covariance Matrix in Simultaneous Localization and Mapping of Mobile Robot." In Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3708-6_24.

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Bruno, Giovanni di Dio. "Erwhi Hedgehog: A New Learning Platform for Mobile Robotics." In Makers at School, Educational Robotics and Innovative Learning Environments. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77040-2_32.

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AbstractErwhi Hedgehog is one of the smallest mobile robots. It enables mapping and vision analysis, and also displays machine learning features. Behaving like a small, curious animal, eager to explore the surroundings, the robot can be used to test navigation, mapping and localization algorithms, thus allowing the prototyping of new hardware and software for robotics. This application is particularly handy for educational robotics, at both high school and university level. On the one hand, the project is fully open source and open hardware under MIT license and available on Github, so everyone can build his/her own Erwhi Hedgehog robot with the aid of a step-by-step guide. On the other hand, students with more advanced knowledge can use it as a prototyping platform for developing new software programs and features. Erwhi uses Intel RealSense, AAEON UP Squared and Myriad X VPU technologies, with software based on the Robotic Operating System (ROS), and implements SLAM algorithms, such as RTAB-Map. The machine learning aspect is based on the OpenVINO framework and a dedicated ROS wrapper was used. The software package includes all the programs needed to create a Gazebo simulation. In terms of hardware, motor control is based on an STM32 microcontroller and the Arduino software, and the robot works on the differential drive unicycle model. Finally, Erwhi is compatible with AWS RoboMaker tools.
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Będkowski, Janusz. "Mobile Mapping Systems." In Cognitive Intelligence and Robotics. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1972-5_2.

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Miller, Aaron, John Meneely, Ulrich Ofterdinger, Debra Laefer, Michela Bertolotto, and Anh Vu Vo. "Mapping the Urban Environment with a Handheld Mobile LiDAR System—A Case Study from the UrbanARK Project." In 3D Imaging of the Environment. CRC Press, 2023. http://dx.doi.org/10.1201/9780429327575-2.

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Chiang, Kai Wei, Guang-Je Tsai, and Jhih Cing Zeng. "Mobile Mapping Technologies." In Urban Informatics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_25.

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AbstractThis chapter introduces the historic development as well as the latest progress of mobile mapping systems. First, mobile mapping technologies, including the introduction of positioning and mapping sensors, and how they can be integrated together, are briefly reviewed. Then the development of land-based, aerial, marine, and mobile portable mapping platforms is presented. The latest progress in mobile-mapping technologies is further discussed, along with sensor fusion schemes, seamless indoor and outdoor mapping strategies, and disaster response applications. In addition, this chapter explores future and potential applications, such as high-definition (HD) maps and autonomous mapping with autonomous systems.
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Abolmasov, Biljana, Ranka Stanković, Miloš Marjanović, Nikola Vulović, and Uroš Đurić. "CliRtheRoads: An Integrated Approach to Landslide Risk Management on Roads in Serbia." In Progress in Landslide Research and Technology. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-44296-4_23.

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AbstractIn the framework of the project “Mainstreaming Climate Resilience in the Road Transportation Management in Serbia (CliRtheRoads)”, a complex mapping tool was developed to support the Government of Serbia and Public Enterprise Roads of Serbia in climate change adaptation planning and management. The software solution comprises of: a web portal for data entry and management for authorised users; a publicly available web-GIS application; a mobile GIS application; and a back-end database. This paper briefly overviews the system, focusing on the landslide data model. Therein, the main system and software solution breakthrough is automatizing the estimation of investment costs of engineering and non-engineering measures recommended at affected locations along the road network. A retrospective on its applicability and user feedback is also included. The objective was to facilitate seamless road management by providing necessary data in a simple, understandable fashion, indicating which locations on the road network have higher priority. The introduced level of automation allows easier decision-making and investment planning.
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Conference papers on the topic "Mobile mapping system"

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Smuleac, Adrian, Laura Smuleac, Cosmin Alin Popescu, Mihai Herbei, and Raul Pascalau. "LIDAR DATA ACQUISITION AND MEASUREMENT ACCURACY IN QC TOOLS USING MOBILE MAPPING SYSTEM TECHNOLOGY." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/3.2/s11.09.

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The work aims to acquire LiDAR data and checking the scan quality in QC Tools for Sanmihaiu Roman hydro technical arrangement located on the Bega Canal, Timis County, Romania, using mobile scanning technology MMS - Mobile Mapping System, using portable backpack equipment from Swiss manufacturer Leica, the Pegasus Backpack model. The Method of LiDAR Data Collection is a Fused Slam one, where, a Master Station has been located for the purchase of RiNEX data, using some GNSS receiver, the Leica GS 08. The raw data processing was done with the Pegasus Manager program, where the visualization of quality graphs was performed in QC Tools and the data processing was carried out with the Cyclone program, the modelling version (Model), using the SmartPick Point and Virtual Surveyor functions. The scanning accuracy was between 2 and 3 cm. SLAM simultaneous location and mapping technology with IMU (Inertial Measurement Unit) technology of high precision, ensures precise positioning when we have GNSS interruptions. From a technological point of view, MMS is a multi-sensor system consisting mainly of three components: mapping sensors (3D imaging systems), navigation/positioning sensors (IMU/GNSS) and a control unit, which synchronizes and integrates the acquisition of geomatic information, the trajectory of which is calculated.
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Prawira, Sandy, Rangga Winantyo, and Eunike Endariahna Surbakti. "Mobile Robot System Design With Mapping Function For Industrial Logistic Management*." In 2024 International Conference on Advanced Robotics and Mechatronics (ICARM). IEEE, 2024. http://dx.doi.org/10.1109/icarm62033.2024.10715951.

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Wang, Yibo, Kaipu Liu, Chen Liu, Yu Liu, Zhanhui Du, and Yuan Wang. "Mobile Hybrid Distribution Transformer Deployment Strategy Based on Spatial Coordinate System Mapping Optimization." In 2024 China International Conference on Electricity Distribution (CICED). IEEE, 2024. http://dx.doi.org/10.1109/ciced63421.2024.10754004.

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Flores-Cortez, Omar Otoniel, Carlos Osmin Pocasangre, Fernando Arevalo, Boris Andres Castillo, and Lyan Donovan Segovia. "Mobile Air Quality Sensor System for GIS Mapping, Study Case in San Salvador City." In 2024 IEEE ANDESCON. IEEE, 2024. http://dx.doi.org/10.1109/andescon61840.2024.10755697.

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Shi, Yuhan, and Yue Qiao. "The application of mobile measurement system in large-scale coastal terrain surveying and mapping." In 2024 International Conference on Remote Sensing and Digital Earth, edited by Jie Cheng, Kegen Yu, and Mahmoud Reza Delavar. SPIE, 2025. https://doi.org/10.1117/12.3059060.

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Kopacik, Alojz, Pavol Kajanek, Jan Brindza, Jan Erdelyi, and Peter Kyrinovic. "DEVELOPMENT OF A MOBILE MAPPING SYSTEM FOR SIMULTANEOUS LOCALIZATION AND MAPPING." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/2.1/s09.24.

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The article deals with the developing and applying of the mobile mapping system developed at the Department of Surveying of the Slovak University of Technology in Bratislava. The article presents a low-cost mobile mapping system for simultaneous localization and mapping of the indoor environment. Existing systems are costly and have robust construction and high-power requirements, making them unavailable for some applications. The proposed measuring system consists of three orthogonally placed 2D lidars, a robotic platform with two rotary encoders, and an inertial measuring unit. The lidars scan the environment in three mutually perpendicular directions during the measurement. Based on the transformation between a pair of consecutive scans, the position of the system is updated. Then the model of the environment is updated using a new lidar scan. The estimated transformation parameters are translations expressing the change in position of the system and rotation, which represents the change in orientation of the measuring system. The errors in determining the transformation parameters represent the positioning errors, which are transmitted to the calculated model. For this reason, additional sensors are used (inertial measuring unit, speed sensors), based on which the error in position and orientation is corrected.
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Cardoso, B. B., E. L. Martins, M. A. I. Martins, K. D. Tomaz, and S. de Francisci. "THERMOGRAPHIC INSPECTION WITH MOBILE MAPPING SYSTEM." In CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution. Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/icp.2021.1785.

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von Olshausen, Philipp, Bastian Stahl, Stefan Blattmann, and Alexander Reiterer. "Mobile mapping system for high-resolution imaging." In Remote Sensing Technologies and Applications in Urban Environments VII, edited by Nektarios Chrysoulakis, Thilo Erbertseder, and Ying Zhang. SPIE, 2022. http://dx.doi.org/10.1117/12.2635950.

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Skoczylas, Mariusz, Łukasz Gotówko, Mateusz Salach, Bartosz Trybus, Marcin Hubacz, and Bartosz Pawłowicz. "Room mapping system using RFID and mobile robots." In 17th Conference on Computer Science and Intelligence Systems. IEEE, 2022. http://dx.doi.org/10.15439/2022f248.

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Yun, Hee Cheon, Min Gyu Kim, and Jong Sin Lee. "Management of Road Pavement by Mobile Mapping System." In Sensor 2014. Science & Engineering Research Support soCiety, 2014. http://dx.doi.org/10.14257/astl.2014.62.16.

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Reports on the topic "Mobile mapping system"

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Habib, Ayman, Darcy M. Bullock, Yi-Chun Lin, and Raja Manish. Road Ditch Line Mapping with Mobile LiDAR. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317354.

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Maintenance of roadside ditches is important to avoid localized flooding and premature failure of pavements. Scheduling effective preventative maintenance requires mapping of the ditch profile to identify areas requiring excavation of long-term sediment accumulation. High-resolution, high-quality point clouds collected by mobile LiDAR mapping systems (MLMS) provide an opportunity for effective monitoring of roadside ditches and performing hydrological analyses. This study evaluated the applicability of mobile LiDAR for mapping roadside ditches for slope and drainage analyses. The performance of alternative MLMS units was performed. These MLMS included an unmanned ground vehicle, an unmanned aerial vehicle, a portable backpack system along with its vehicle-mounted version, a medium-grade wheel-based system, and a high-grade wheel-based system. Point cloud from all the MLMS units were in agreement in the vertical direction within the ±3 cm range for solid surfaces, such as paved roads, and ±7 cm range for surfaces with vegetation. The portable backpack system that could be carried by a surveyor or mounted on a vehicle and was the most flexible MLMS. The report concludes that due to flexibility and cost effectiveness of the portable backpack system, it is the preferred platform for mapping roadside ditches, followed by the medium-grade wheel-based system. Furthermore, a framework for ditch line characterization is proposed and tested using datasets acquired by the medium-grade wheel-based and vehicle-mounted portable systems over a state highway. An existing ground filtering approach is modified to handle variations in point density of mobile LiDAR data. Hydrological analyses, including flow direction and flow accumulation, are applied to extract the drainage network from the digital terrain model (DTM). Cross-sectional/longitudinal profiles of the ditch are automatically extracted from LiDAR data and visualized in 3D point clouds and 2D images. The slope derived from the LiDAR data was found to be very close to highway cross slope design standards of 2% on driving lanes, 4% on shoulders, as well as 6-by-1 slope for ditch lines. Potential flooded regions are identified by detecting areas with no LiDAR return and a recall score of 54% and 92% was achieved by the medium-grade wheel-based and vehicle-mounted portable systems, respectively. Furthermore, a framework for ditch line characterization is proposed and tested using datasets acquired by the medium-grade wheel-based and vehicle-mounted portable systems over a state highway. An existing ground filtering approach is modified to handle variations in point density of mobile LiDAR data. Hydrological analyses, including flow direction and flow accumulation, are applied to extract the drainage network from the digital terrain model (DTM). Cross-sectional/longitudinal profiles of the ditch are automatically extracted from LiDAR data, and visualized in 3D point clouds and 2D images. The slope derived from the LiDAR data was found to be very close to highway cross slope design standards of 2% on driving lanes, 4% on shoulder, as well as 6-by-1 slope for ditch lines. Potential flooded regions are identified by detecting areas with no LiDAR return and a recall score of 54% and 92% was achieved by the medium-grade wheel-based and vehicle-mounted portable systems, respectively.
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Habib, Ayman, Yun-Jou Lin, Radhika Ravi, Tamer Shamseldin, and Magdy Elbahnasawy. LiDAR-Based Mobile Mapping System for Lane Width Estimation in Work Zone. Purdue University, 2019. http://dx.doi.org/10.5703/1288284316730.

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Lee, W. S., Victor Alchanatis, and Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7598158.bard.

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Original objectives and revisions – The original overall objective was to develop, test and validate a prototype yield mapping system for unit area to increase yield and profit for tree crops. Specific objectives were: (1) to develop a yield mapping system for a static situation, using hyperspectral and thermal imaging independently, (2) to integrate hyperspectral and thermal imaging for improved yield estimation by combining thermal images with hyperspectral images to improve fruit detection, and (3) to expand the system to a mobile platform for a stop-measure- and-go situation. There were no major revisions in the overall objective, however, several revisions were made on the specific objectives. The revised specific objectives were: (1) to develop a yield mapping system for a static situation, using color and thermal imaging independently, (2) to integrate color and thermal imaging for improved yield estimation by combining thermal images with color images to improve fruit detection, and (3) to expand the system to an autonomous mobile platform for a continuous-measure situation. Background, major conclusions, solutions and achievements -- Yield mapping is considered as an initial step for applying precision agriculture technologies. Although many yield mapping systems have been developed for agronomic crops, it remains a difficult task for mapping yield of tree crops. In this project, an autonomous immature fruit yield mapping system was developed. The system could detect and count the number of fruit at early growth stages of citrus fruit so that farmers could apply site-specific management based on the maps. There were two sub-systems, a navigation system and an imaging system. Robot Operating System (ROS) was the backbone for developing the navigation system using an unmanned ground vehicle (UGV). An inertial measurement unit (IMU), wheel encoders and a GPS were integrated using an extended Kalman filter to provide reliable and accurate localization information. A LiDAR was added to support simultaneous localization and mapping (SLAM) algorithms. The color camera on a Microsoft Kinect was used to detect citrus trees and a new machine vision algorithm was developed to enable autonomous navigations in the citrus grove. A multimodal imaging system, which consisted of two color cameras and a thermal camera, was carried by the vehicle for video acquisitions. A novel image registration method was developed for combining color and thermal images and matching fruit in both images which achieved pixel-level accuracy. A new Color- Thermal Combined Probability (CTCP) algorithm was created to effectively fuse information from the color and thermal images to classify potential image regions into fruit and non-fruit classes. Algorithms were also developed to integrate image registration, information fusion and fruit classification and detection into a single step for real-time processing. The imaging system achieved a precision rate of 95.5% and a recall rate of 90.4% on immature green citrus fruit detection which was a great improvement compared to previous studies. Implications – The development of the immature green fruit yield mapping system will help farmers make early decisions for planning operations and marketing so high yield and profit can be achieved.
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Author, Unknown. DTRS56-02-T-0005 Digital Mapping of Buried Pipelines with a Dual Array System. Pipeline Research Council International, Inc. (PRCI), 2005. http://dx.doi.org/10.55274/r0011943.

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The technical goal of the Dual Array Project was to develop new technology for non-invasive mapping of buried pipelines, down to depths of 10 meters or more, using modern electromagnetic sensors and signal processing. A major proposed innovation in the work was the integration of the sensor arrays and software into a mobile system capable of mapping underground utility networks (and other buried infrastructure) efficiently over large areas. Ultimately, the goal is to have a non-invasive system that can produce an accurate infrastructure map of an entire urban or suburban utility network in digital form. This goal requires the development of new geophysical remote sensing technologies to create underground images down to the depths of most buried utilities in the United States and the development of software to extract features from the images to create digital maps that can be archived electronically - for example, in Geographic Information Systems. Key components of each of these goals were developed and demonstrated during the Dual-Array Project.
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Brodie, Katherine, Brittany Bruder, Richard Slocum, and Nicholas Spore. Simultaneous mapping of coastal topography and bathymetry from a lightweight multicamera UAS. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41440.

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A low-cost multicamera Unmanned Aircraft System (UAS) is used to simultaneously estimate open-coast topography and bathymetry from a single longitudinal coastal flight. The UAS combines nadir and oblique imagery to create a wide field of view (FOV), which enables collection of mobile, long dwell timeseries of the littoral zone suitable for structure-from motion (SfM), and wave speed inversion algorithms. Resultant digital surface models (DSMs) compare well with terrestrial topographic lidar and bathymetric survey data at Duck, NC, USA, with root-mean-square error (RMSE)/bias of 0.26/–0.05 and 0.34/–0.05 m, respectively. Bathymetric data from another flight at Virginia Beach, VA, USA, demonstrates successful comparison (RMSE/bias of 0.17/0.06 m) in a secondary environment. UAS-derived engineering data products, total volume profiles and shoreline position, were congruent with those calculated from traditional topo-bathymetric surveys at Duck. Capturing both topography and bathymetry within a single flight, the presented multicamera system is more efficient than data acquisition with a single camera UAS; this advantage grows for longer stretches of coastline (10 km). Efficiency increases further with an on-board Global Navigation Satellite System–Inertial Navigation System (GNSS-INS) to eliminate ground control point (GCP) placement. The Appendix reprocesses the Virginia Beach flight with the GNSS–INS input and no GCPs.
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Habib, Ayman, Darcy M. Bullock, Yi-Chun Lin, Raja Manish, and Radhika Ravi. Field Test Bed for Evaluating Embedded Vehicle Sensors with Indiana Companies. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317385.

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With the advent of modern sensing technology, mapping products have begun to achieve an unprecedented precision of measurement. Considering their diverse use cases, several factors play a role in what would make the resulting measurements accurate. For light detection and ranging (LiDAR) and photogrammetry-based mapping solutions that implement vehicles outfitted with laser ranging devices, RGB cameras, and global navigation satellite system/inertial navigation system (GNSS/INS) georeferencing units, the quality of the derived mapping products is governed by the combined accuracy of the various sensors. While ranging errors associated with LiDAR systems or the imaging quality of RGB cameras are sensor-dependent and are mostly constant, the accuracy of a georeferencing unit depends on a variety of extrinsic factors, including but not limited to, availability of clear line-of-path to GNSS satellites and presence of radio interferences. The quality of the GNSS signal, in turn, is affected by the grade of hardware components used and, to a great extent, obstructions to signal reception. This document reports some of the major challenges of vehicle-based mobile mapping with regards to GNSS/INS navigation. The background of GNSS/INS positioning is discussed to build a framework for trajectory enhancement as well as improvement of LiDAR mapping products. The focus is put on using available sensor data from LiDAR and/or cameras to enhance their position/orientation quality. Some best practices in light of potential trajectory deterioration are also recommended.
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Roberts, Tony, Judy Gitahi, Patrick Allam, et al. Mapping the Supply of Surveillance Technologies to Africa: Case Studies from Nigeria, Ghana, Morocco, Malawi, and Zambia. Institute of Development Studies, 2023. http://dx.doi.org/10.19088/ids.2023.027.

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African governments are spending over 1US$bn per year on digital surveillance technologies which are being used without adequate legal protections in ways that regularly violate citizens’ fundamental human rights. This report documents which companies, from which countries, are supplying which types of surveillance technology to African governments. Without this missing detail, it is impossible to adequately design measures to mitigate and overcome illegal surveillance and violations of human rights. Since the turn of the century, we have witnessed a digitalisation of surveillance that has enabled the algorithmic automation of surveillance at a scale not previously imaginable. Surveillance of citizens was once a labour and time-intensive process. This provided a practical limit to the scope and depth of state surveillance. The digitalisation of telephony has made it possible to automate the search for keywords across all mobile and internet communications. For the first time, state surveillance agencies can do two things: (a) conduct mass surveillance of all citizens’ communications, and (b) micro-target individuals for in-depth surveillance that draws together in real-time data from mobile calls, short message service (SMS), internet messaging, global positioning system (GPS) location, and financial transactions. This report was produced by qualitative analysis of open-source data in the public domain. The information presented is drawn from a diverse range of sources, including open government data sets, export licence portals, procurement notices, civil society databases of surveillance contracts, press releases from surveillance companies, academic articles, reports, and media coverage. The research is organised using a typology of five categories of surveillance technology. We did not set out to detail every technology available, every company, or every supply contract. Instead, we document the main companies and countries selling digital surveillance technologies to African governments. Rather than focus on the technical functionality distinguishing each product offering, we highlight five of the most important types of surveillance technology: internet interception, mobile interception, social media surveillance, ‘safe city’ technologies for the surveillance of public spaces, and biometric identification technologies.
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programme, CLARISSA. Journey To and From Work. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/clarissa.2024.033.

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As part of CLARISSA’s qualitative, thematic research agenda, Geographic Information System (GIS) journey mapping and ethnographic observation was conducted to gain insights into the daily lives, experiences, journeys, and feelings of children involved in the Adult Entertainment Sector (AES). Twenty children documented their daily activities using a mobile app, with support and accompaniment from CLARISSA researchers. Subsequently, a collaborative analysis was conducted with participants and the CLARISSA research team, culminating in the formation of a number of GIS-based Action Research Groups to work on predominant issues or themes. This process generated evidence that is often deeply veiled and difficult to uncover. The formation of this ARG was prompted by recurring issues around children’s journeys to work that emerged through the research. The group was focused on the theme, ‘The journey to work and back’.
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Mathew, Jijo K., Haydn Malackowski, Yerassyl Koshan, et al. Development of Latitude/Longitude (and Route/Milepost) Model for Positioning Traffic Management Cameras. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317720.

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Traffic Incident Management (TIM) is a FHWA Every Day Counts initiative with the objective of reducing secondary crashes, improving travel reliability, and ensuring the safety of responders. Agency roadside cameras play a critical role in TIM by helping dispatchers quickly identify the precise location of incidents when receiving reports from motorists with varying levels of spatial accuracy. Reconciling position reports that are often mile-marker based with cameras that operate in a Pan-Tilt-Zoom (PTZ) coordinate system relies on dispatchers having detailed knowledge of hundreds of cameras and perhaps some presets. During real-time incident dispatching, reducing the time it takes to identify the most relevant cameras and view the incident improves incident management dispatch times. This research developed a camera-to-mile marker mapping technique that automatically sets the camera view to a specified mile marker within the field-of-view of the camera. A new performance metric on verification time (TEYE) that captures the time it takes for TMC operators to have the first visual on roadside cameras is proposed for integration into the FHWA TIM event sequence. Performance metrics that summarize spatial camera coverage and image quality for use in both dispatch and long-term statewide planning for camera deployments were also developed. Using mobile mapping and LiDAR geospatial data to automate the mapping of mile markers to camera PTZ settings, and the integration of connected vehicle trajectory data to detect incidents and set the nearest camera view on the incident are both discussed for future studies.
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programme, CLARISSA. Mental Health and Wellbeing. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/clarissa.2024.029.

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Abstract:
As part of CLARISSA’s qualitative, thematic research agenda, Geographic Information System (GIS) journey mapping and ethnographic observation was conducted to gain insights into the daily lives, experiences, journeys, and feelings of children involved in the Adult Entertainment Sector (AES). Twenty children documented their daily activities using a mobile app, with support and accompaniment from CLARISSA researchers. Subsequently, a collaborative analysis was conducted with participants and the CLARISSA research team, culminating in the formation of a number of GIS-based Action Research Groups (ARGs) to work on predominant issues or themes. The formation of Nepal ARG 5 was prompted by recurring issues around children’s mental health and overall wellbeing that emerged through the research. The children involved are exposed to various forms of exploitation, abuse, trauma, and violence, all of which have a profound and adverse impact on their mental health. As such, this group was formed to work on the theme/issue ‘mental health and wellbeing’.
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