Relevant bibliographies by topics / Mobile mapping systems

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Mobile mapping systems'

Author: Grafiati
Published: 7 June 2025
Last updated: 9 July 2025

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Journal articles on the topic "Mobile mapping systems"

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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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Clarke, Keith C. "Mobile Mapping and Geographic Information Systems." Cartography and Geographic Information Science 31, no. 3 (2004): 131–36. http://dx.doi.org/10.1559/1523040042246043.

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Mattheuwsen, L., M. Bassier, and M. Vergauwen. "THEORETICAL ACCURACY PREDICTION AND VALIDATION OF LOW-END AND HIGH-END MOBILE MAPPING SYSTEM IN URBAN, RESIDENTIAL AND RURAL AREAS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W18 (November 29, 2019): 121–28. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w18-121-2019.

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Abstract. Mobile mapping systems are increasingly being used for the acquisition of 3D information of the environment. Although these systems are very efficient in data capturing compared to more traditional methods, the high cost of high-end accurate mobile mapping systems is a major drawback. In contrast, the much cheaper low-end mobile mapping systems are more frequently used for less accurate projects where visualization is more important. In general, the achievable accuracy level is the driving factor that differentiates low-end from high-end systems. To determine this value, the sensor quality, calibration and GNSS reception quality should be reliably evaluated.In this paper, we present a theoretical accuracy model of a mobile mapping system that takes into account variable GNSS accuracy. The predicted accuracy level of low-end and high-end mobile mapping systems is evaluated in a comprehensive accuracy analysis. The absolute accuracy of the system is determined in three datasets in which GNSS reception quality varies between optimal, good and poor. Additionally, the relative accuracy of both systems is checked by comparison of control distances. The presented approach allows for a more general and robust accuracy prediction of mobile mapping systems in different circumstances.
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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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Zalović, Luka, Siniša Mastelić-Ivić, and Ante Rončević. "Selection of an Appropriate Extrinsic Camera Calibration Method for Handheld Mobile Mapping Systems." Tehnički glasnik 18, Special Issue (2024): 55–61. http://dx.doi.org/10.31803/tg-20240904220222.

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Mobile mapping systems integrate multiple sensors to collect large volumes of geospatial data in motion. With the growing demand for mapping enclosed and hard-to-reach areas, there has been significant advancement in handheld mobile mapping systems utilizing SLAM (Simultaneous Localization and Mapping) technology. To ensure theirdata is efficiently usable, these systems should produce oriented images, which are essential for visualization, point cloud colorization, and monoplotting. Achieving so requiresprecise extrinsic camera calibration. This research provides a comprehensive overview of existing extrinsic camera calibration methods and evaluates their suitability for applicationin handheld mobile mapping systems. The goal is to identify a method that meets the accuracy and practical needs of these systems, facilitating more effective data processingand utilization in challenging environments.
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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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Soilán, M., B. Riveiro, J. Martínez-Sánchez, and P. Arias. "AUTOMATIC ROAD SIGN INVENTORY USING MOBILE MAPPING SYSTEMS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 10, 2016): 717–23. http://dx.doi.org/10.5194/isprs-archives-xli-b3-717-2016.

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The periodic inspection of certain infrastructure features plays a key role for road network safety and preservation, and for developing optimal maintenance planning that minimize the life-cycle cost of the inspected features. Mobile Mapping Systems (MMS) use laser scanner technology in order to collect dense and precise three-dimensional point clouds that gather both geometric and radiometric information of the road network. Furthermore, time-stamped RGB imagery that is synchronized with the MMS trajectory is also available. In this paper a methodology for the automatic detection and classification of road signs from point cloud and imagery data provided by a LYNX Mobile Mapper System is presented. First, road signs are detected in the point cloud. Subsequently, the inventory is enriched with geometrical and contextual data such as orientation or distance to the trajectory. Finally, semantic content is given to the detected road signs. As point cloud resolution is insufficient, RGB imagery is used projecting the 3D points in the corresponding images and analysing the RGB data within the bounding box defined by the projected points. The methodology was tested in urban and road environments in Spain, obtaining global recall results greater than 95%, and F-score greater than 90%. In this way, inventory data is obtained in a fast, reliable manner, and it can be applied to improve the maintenance planning of the road network, or to feed a Spatial Information System (SIS), thus, road sign information can be available to be used in a Smart City context.
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Salgues, H., H. Macher, and T. Landes. "EVALUATION OF MOBILE MAPPING SYSTEMS FOR INDOOR SURVEYS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIV-4/W1-2020 (September 3, 2020): 119–25. http://dx.doi.org/10.5194/isprs-archives-xliv-4-w1-2020-119-2020.

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Abstract. With their high recording rate of hundreds of thousands of points acquired per second, speed of execution and a remote acquisition mode, SLAM based mobile mapping systems (MMS) are a very powerful solution for capturing 3D point clouds in real time, simply by walking in the area of interest. Regarding indoor surveys, these MMS have been integrated in handheld or backpack solutions and become fast scanning sensors. Despite their advantages, the geometric accuracy of 3D point clouds guaranteed with these sensors is lower than the one reachable with static TLS. In this paper the effectiveness of two recent mobile mapping systems namely the GeoSLAM ZEB-REVO RT and the more recent GreenValley LiBackPack C50 is investigated for indoor surveys. In order to perform a reliable assessment study, several datasets produced with each sensor are compared to the high-cost georeferenced point cloud obtained with static laser scanning target-based technique.
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Soilán, M., B. Riveiro, J. Martínez-Sánchez, and P. Arias. "AUTOMATIC ROAD SIGN INVENTORY USING MOBILE MAPPING SYSTEMS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 10, 2016): 717–23. http://dx.doi.org/10.5194/isprsarchives-xli-b3-717-2016.

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The periodic inspection of certain infrastructure features plays a key role for road network safety and preservation, and for developing optimal maintenance planning that minimize the life-cycle cost of the inspected features. Mobile Mapping Systems (MMS) use laser scanner technology in order to collect dense and precise three-dimensional point clouds that gather both geometric and radiometric information of the road network. Furthermore, time-stamped RGB imagery that is synchronized with the MMS trajectory is also available. In this paper a methodology for the automatic detection and classification of road signs from point cloud and imagery data provided by a LYNX Mobile Mapper System is presented. First, road signs are detected in the point cloud. Subsequently, the inventory is enriched with geometrical and contextual data such as orientation or distance to the trajectory. Finally, semantic content is given to the detected road signs. As point cloud resolution is insufficient, RGB imagery is used projecting the 3D points in the corresponding images and analysing the RGB data within the bounding box defined by the projected points. The methodology was tested in urban and road environments in Spain, obtaining global recall results greater than 95%, and F-score greater than 90%. In this way, inventory data is obtained in a fast, reliable manner, and it can be applied to improve the maintenance planning of the road network, or to feed a Spatial Information System (SIS), thus, road sign information can be available to be used in a Smart City context.
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Dissertations / Theses on the topic "Mobile mapping systems"

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Light, Brandon W. "Energy-efficient photon mapping." Link to electronic thesis, 2007. http://www.wpi.edu/Pubs/ETD/Available/etd-051007-092224/.

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Thesis (M.S.) -- Worcester Polytechnic Institute.<br>Keywords: mobile devices; photon mapping; global illumination; ray tracing; energy; mobile; computer graphics. Includes bibliographical references (leaves 66-68).
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Casalaro, Giuseppina Lucia, and Giulio Cattivera. "MODEL-DRIVEN ENGINEERING FOR MOBILE ROBOT SYSTEMS: A SYSTEMATIC MAPPING STUDY." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-28261.

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The development of autonomous Mobile Robot Systems is attracting nowadays more and moreinterest from both researchers and practitioners, mainly because they may open for a wide rangeof improvements for quality of life. Mobile robots are systems capable of accomplishing missionsby moving in an unknown environment without human supervision. Throughout mechanisms ofdetection, communication and adaptation, they can adapt their behavior according to changes ofthe environment. Individual robots can even join teams of autonomous mobile robots that, throughindividual tasks, accomplish common missions. These are called Mobile Multi-Robot Systems andare meant to perform missions that a single robot would not be able to carry out by itself.When it comes to the development of Mobile Robot Systems, currently there is no standard methodology.This is mainly due to the complexity of the domain and the variety of di↵erent platformsthat are available on the market. A promising methodology that recently has gained attention insoftware industry for its ability of mitigating complexity and boosting platform-independence, isModel-Driven Engineering.This thesis proposes a systematic mapping study on the state-of-the-art of Model-Driven Engineeringfor Mobile Robot Systems. Through our contribution, researchers can get a picture of theactual trends and open challenges for further research, while practitioners can realize the suitabilityof Model-Driven Engineering by checking to what extent it has been applied to real-world projects.
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Narayana, Keerthi. "Solutions for the localization of mobile mapping systems in structured environments." Paris, ENMP, 2011. http://pastel.archives-ouvertes.fr/docs/00/61/79/85/PDF/Solutions_de_localisation_des_SystA_mes_Mobiles_de_Cartographie_en_environnements_structurA_s.pdf.

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La localisation automatique est une fonctionnalité importante des systèmes de cartographie mobiles (Mobile Mapping Systems, MMS). La présente thèse présente des solutions complémentaires aux méthodes de localisation utilisées actuellement dans un système MMS terrestre, qui utilise des récepteurs GPS et des centrales à inertie (Inertial Measurement Units, IMU). Un post-traitement, par lissage des données, permet d'améliorer les cartes 3D générées par un MMS. Cette approche est cependant insuffisante pour corriger les erreurs à variations lentes des capteurs. La présente thèse propose une technique de localisation alternative, fondée sur des scanners 2D à lasers. La méthode présentée ici, d'odométrie par laser, utilise des repères plans, qui sont fréquents dans les environnements créés par l'Homme : ces repères fixes permettent de déterminer le déplacement opéré par la plateforme mobile. Contrairement à la technique du SLAM (Simultaneous Localization and Mapping), utilisée pour la navigation des robots à l'intérieur d'un bâtiment, la transformation 3D est calculée sans avoir recours à une carte préétablie, mais en exploitant des propriétés invariantes des caractéristiques extraites de l'environnement. Nous proposons une approche par "division pour régner" (divide and conquer, D&amp;C) qui simplifie les tâches d'association des repères (data association, DA) et de reconstruction du mouvement<br>Automated localization is an important functionality for Mobile Mapping Systems (MMS). This thesis presents complimentary solutions to the current localization methods used in a terrestrial MMS, using GPS receivers and Inertial Measurement Units (IMU). A smoothing-based post-mission processing improves the 3D maps generated by MMS. However, this approach is still insufficient, when exposed to slowly varying input sensor errors. The thesis proposes an alternative localization method using 2D laser scanners. The proposed laser odometry approach uses planar landmarks in manmade environments, to detect and compute the transformation of the mobile platform. Unlike Simultaneous Localization and Mapping (SLAM) technique, used in indoor robotic navigation, the relative 3D transformation is computed without using a map, but by exploiting the time invariant properties of the extracted features. A new Divide &amp; Conquer (D&amp;C) approach is proposed to simplify the computation, involving both transformation and Data Association
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Kaess, Michael. "Incremental smoothing and mapping." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26572.

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Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2009.<br>Committee Chair: Dellaert, Frank; Committee Member: Bobick, Aaron; Committee Member: Christensen, Henrik; Committee Member: Leonard, John; Committee Member: Rehg, James. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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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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Kanaparthy, Venu Madhav Singh. "GML represntation for interoperable spatial data exchange in a mobile mapping application." Master's thesis, Mississippi State : Mississippi State University, 2004. http://library.msstate.edu/etd/show.asp?etd=etd-07102004-133629.

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Pereira, Savio Joseph. "On the utilization of Simultaneous Localization and Mapping(SLAM) along with vehicle dynamics in Mobile Road Mapping Systems." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/94425.

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Mobile Road Mapping Systems (MRMS) are the current solution to the growing demand for high definition road surface maps in wide ranging applications from pavement management to autonomous vehicle testing. The focus of this research work is to improve the accuracy of MRMS by using the principles of Simultaneous Localization and Mapping (SLAM). First a framework for describing the sensor measurement models in MRMS is developed. Next the problem of estimating the road surface from the set of sensor measurements is formulated as a SLAM problem and two approaches are proposed to solve the formulated problem. The first is an incremental solution wherein sensor measurements are processed in sequence using an Extended Kalman Filter (EKF). The second is a post-processing solution wherein the SLAM problem is formulated as an inference problem over a factor graph and existing factor graph SLAM techniques are used to solve the problem. For the mobile road mapping problem, the road surface being measured is one the primary inputs to the dynamics of the MRMS. Hence, concurrent to the main objective this work also investigates the use of the dynamics of the host vehicle of the system to improve the accuracy of the MRMS. Finally a novel method that builds off the concepts of the popular model fitting algorithm, Random Sampling and Consensus (RANSAC), is developed in order to identify outliers in road surface measurements and estimate the road elevations at grid nodes using these measurements. The developed methods are validated in a simulated environment and the results demonstrate a significant improvement in the accuracy of MRMS over current state-of-the art methods.<br>Doctor of Philosophy<br>Mobile Road Mapping Systems (MRMS) are the current solution to the growing demand for high definition road surface maps in wide ranging applications from pavement management to autonomous vehicle testing. The objective of this research work is to improve the accuracy of MRMS by investigating methods to improve the sensor data fusion process. The main focus of this work is to apply the principles from the field of Simultaneous Localization and Mapping (SLAM) in order to improve the accuracy of MRMS. The concept of SLAM has been successfully applied to the field of mobile robot navigation and thus the motivation of this work is to investigate its application to the problem of mobile road mapping. For the mobile road mapping problem, the road surface being measured is one the primary inputs to the dynamics of the MRMS. Hence this work also investigates whether knowledge regarding the dynamics of the system can be used to improve the accuracy. Also developed as part of this work is a novel method for identifying outliers in road surface datasets and estimating elevations at road surface grid nodes. The developed methods are validated in a simulated environment and the results demonstrate a significant improvement in the accuracy of MRMS over current state-of-the-art methods.
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Van, Tonder Bradley Paul. "Adaptive user interfaces for mobile map-based visualisation." Thesis, Nelson Mandela Metropolitan University, 2008. http://hdl.handle.net/10948/866.

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Mobile devices today frequently serve as platforms for the visualisation of map-based data. Despite the obvious advantages, mobile map-based visualisation (MMV) systems are often difficult to design and use. Limited screen space, resource constraints and awkward interaction mechanisms are among the many problems with which designers and users have to contend. Adaptive user interfaces (AUIs), which adapt to the individual user, represent a possible means of addressing the problems of MMV. Adaptive MMV systems are, however, generally designed in an ad-hoc fashion, making the benefits achieved difficult to replicate. In addition, existing models for adaptive MMV systems are either conceptual in nature or only address a subset of the possible input variables and adaptation effects. The primary objective of this research was to develop and evaluate an adaptive MMV system using a model-based approach. The Proteus Model was proposed to support the design of MMV systems which adapt in terms of information, visualisation and user interface in response to the user‟s behaviour, tasks and context. The Proteus Model describes the architectural, interface, data and algorithm design of an adaptive MMV system. A prototype adaptive MMV system, called MediaMaps, was designed and implemented based on the Proteus Model. MediaMaps allows users to capture, location-tag, organise and visualise multimedia on their mobile phones. Information adaptation is performed through the use of an algorithm to assist users in sorting media items into collections based on time and location. Visualisation adaptation is performed by adapting various parameters of the map-based visualisations according to user preferences. Interface adaptation is performed through the use of adaptive lists. An international field study of MediaMaps was conducted in which participants were required to use MediaMaps on their personal mobile phones for a period of three weeks. The results of the field study showed that high levels of accuracy were achieved by both the information and interface adaptations. High levels of user satisfaction were reported, with participants rating all three forms of adaptation as highly useful. The successful implementation of MediaMaps provides practical evidence that the model-based design of adaptive MMV systems is feasible. The positive results of the field study clearly show that the adaptations implemented were highly accurate and that participants found these adaptations to be useful, usable and easy to understand. This research thus provides empirical evidence that the use of AUIs can provide significant benefits for the visualisation of map-based information on mobile devices.
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Meger, David Paul. "Planning, localization, and mapping for a mobile robot in a camera network." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=101623.

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Networks of cameras such as building security systems can be a source of localization information for a mobile robot assuming a map of camera locations as well as calibration information for each camera is available. This thesis describes an automated system to acquire such information. A fully automated camera calibration system uses fiducial markers and a mobile robot in order to drastically improve ease-of-use compared to standard techniques. A 6DOF EKF is used for mapping and is validated experimentally over a 50 m hallway environment. Motion planning strategies are considered both in front of a single camera to maximize calibration accuracy and globally between cameras in order to facilitate accurate measurements. For global motion planning, an adaptive exploration strategy based on heuristic search allows compromise between distance traveled and final map uncertainty which provides the system a level of autonomy which could not be obtained with previous techniques.
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Van, Tonder Bradley Paul. "Enhanced sensor-based interaction techniques for mobile map-based applications." Thesis, Nelson Mandela Metropolitan University, 2012. http://hdl.handle.net/10948/d1012995.

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Mobile phones are increasingly being equipped with a wide range of sensors which enable a variety of interaction techniques. Sensor-based interaction techniques are particularly promising for domains such as map-based applications, where the user is required to interact with a large information space on the small screen of a mobile phone. Traditional interaction techniques have several shortcomings for interacting with mobile map-based applications. Keypad interaction offers limited control over panning speed and direction. Touch-screen interaction is often a two-handed form of interaction and results in the display being occluded during interaction. Sensor-based interaction provides the potential to address many of these shortcomings, but currently suffers from several limitations. The aim of this research was to propose enhancements to address the shortcomings of sensor-based interaction, with a particular focus on tilt interaction. A comparative study between tilt and keypad interaction was conducted using a prototype mobile map-based application. This user study was conducted in order to identify shortcomings and opportunities for improving tilt interaction techniques in this domain. Several shortcomings, including controllability, mental demand and practicality concerns were highlighted. Several enhanced tilt interaction techniques were proposed to address these shortcomings. These techniques were the use of visual and vibrotactile feedback, attractors, gesture zooming, sensitivity adaptation and dwell-time selection. The results of a comparative user study showed that the proposed techniques achieved several improvements in terms of the problem areas identified earlier. The use of sensor fusion for tilt interaction was compared to an accelerometer-only approach which has been widely applied in existing research. This evaluation was motivated by advances in mobile sensor technology which have led to the widespread adoption of digital compass and gyroscope sensors. The results of a comparative user study between sensor fusion and accelerometer-only implementations of tilt interaction showed several advantages for the use of sensor fusion, particularly in a walking context of use. Modifications to sensitivity adaptation and the use of tilt to perform zooming were also investigated. These modifications were designed to address controllability shortcomings identified in earlier experimental work. The results of a comparison between tilt zooming and Summary gesture zooming indicated that tilt zooming offered better results, both in terms of performance and subjective user ratings. Modifications to the original sensitivity adaptation algorithm were only partly successful. Greater accuracy improvements were achieved for walking tasks, but the use of dynamic dampening factors was found to be confusing. The results of this research were used to propose a framework for mobile tilt interaction. This framework provides an overview of the tilt interaction process and highlights how the enhanced techniques proposed in this research can be integrated into the design of tilt interaction techniques. The framework also proposes an application architecture which was implemented as an Application Programming Interface (API). This API was successfully used in the development of two prototype mobile applications incorporating tilt interaction.
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Books on the topic "Mobile mapping systems"

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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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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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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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Mapping Urban Practices Through Mobile Phone Data. Springer, 2015.

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Mapping Urban Practices Through Mobile Phone Data. Springer International Publishing AG, 2015.

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Map-based Mobile Services: Theories, Methods and Implementations. Springer, 2004.

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

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Book chapters on the topic "Mobile mapping systems"

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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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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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Camacho, Jessica, Karina Campos, Priscila Cedillo, Bryan Coronel, and Alexandra Bermeo. "Forensics Analysis on Mobile Devices:A Systematic Mapping Study." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02828-2_5.

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Iacobini, F., and A. Pranno. "Mobile mapping systems and algorithms for Italian tunnel assessment." In Expanding Underground - Knowledge and Passion to Make a Positive Impact on the World. CRC Press, 2023. http://dx.doi.org/10.1201/9781003348030-292.

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Maset, Eleonora, Lorenzo Scalera, Alberto Beinat, et al. "Preliminary Comparison Between Handheld and Mobile Robotic Mapping Systems." In Proceedings of I4SDG Workshop 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87383-7_32.

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Liu, Jiayi, Randy C. Hoover, and Jeff S. McGough. "Mobile Fiducial-Based Collaborative Localization and Mapping (CLAM)." In Proceedings of the 2020 USCToMM Symposium on Mechanical Systems and Robotics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43929-3_18.

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Sharma, Tanusree, Hunter A. Dyer, Roy H. Campbell, and Masooda Bashir. "Mapping Risk Assessment Strategy for COVID-19 Mobile Apps’ Vulnerabilities." In Lecture Notes in Networks and Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80119-9_72.

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Belloni, V., A. Sjölander, and A. Nascetti. "Data collection using mobile mapping systems for automated tunnel inspections." In Tunnelling into a Sustainable Future – Methods and Technologies. CRC Press, 2025. https://doi.org/10.1201/9781003559047-526.

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Hagmanns, Raphael, Thomas Emter, Leo Garbe, and Jürgen Beyerer. "Factor Graph-Based Dense Mapping for Mobile Robot Teams Using VDB-Submaps." In Intelligent Autonomous Systems 18. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-44851-5_8.

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Kumar, Arun, Maneesha, and Praveen Kant Pandey. "Advances in Simultaneous Localization and Mapping (SLAM) for Autonomous Mobile Robot Navigation." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0180-3_38.

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Conference papers on the topic "Mobile mapping systems"

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Hou, Jingfu, Ziyan Zhao, Shixin Liu, and Dawei Yang. "Topology Mapping and Connectivity Detection for Autonomous Mobile Robot Systems." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711744.

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Gao, Chuanchao, Niraj Kumar, and Arvind Easwaran. "Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing." In 2024 IEEE Real-Time Systems Symposium (RTSS). IEEE, 2024. https://doi.org/10.1109/rtss62706.2024.00012.

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Nguyen, Khang, Tuan Dang, and Manfred Huber. "Volumetric Mapping with Panoptic Refinement using Kernel Density Estimation for Mobile Robots." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10802224.

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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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Heinisch, Paul, Fabian Arzberger, and Andreas Nüchter. "Inertial LiDAR Motion Distortion Correction on Spherical Mobile Mapping Systems for Planetary Exploration." In 2024 International Conference on Space Robotics (iSpaRo). IEEE, 2024. http://dx.doi.org/10.1109/isparo60631.2024.10687505.

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Sun, Hao, Cheng Wang, and Naser El-Sheimy. "Automatic Traffic Lane Detection for Mobile Mapping Systems." In 2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping (M2RSM). IEEE, 2011. http://dx.doi.org/10.1109/m2rsm.2011.5697365.

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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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Huang, Shuo, and Jindong Tan. "Compressive mobile sensing in robotic mapping." In 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009). IEEE, 2009. http://dx.doi.org/10.1109/iros.2009.5354364.

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Piras, Marco, Alberto Cina, and Andrea Lingua. "Low cost mobile mapping systems: an Italian experience." In 2008 IEEE/ION Position, Location and Navigation Symposium. IEEE, 2008. http://dx.doi.org/10.1109/plans.2008.4570077.

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Mancini, A., E. Frontoni, and P. Zingaretti. "Automatic road object extraction from Mobile Mapping Systems." In 2012 IEEE/ASME 8th International Conference on Mechatronic and Embedded Systems and Applications (MESA). IEEE, 2012. http://dx.doi.org/10.1109/mesa.2012.6275575.

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Reports on the topic "Mobile mapping systems"

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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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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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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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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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Shin, Sang-Yeop, Hanjin Kim, Arnav Goel, Jinha Jung, and Ayman Habib. Development of Web Portal for the Management, Visualization, and Analysis of Collected Mobile LiDAR Data along Indiana’s Transportation Corridors. Purdue University, 2025. https://doi.org/10.5703/1288284317846.

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Efficient road management requires collecting and analyzing various geospatial data related to transportation corridors. Mobile Mapping Systems (MMS), integrated with GNSS/INS units, RGB cameras, and LiDAR technology, enable the collection of geo-tagged imagery and 3D point cloud data across roadway networks. Acquired data helps in the inventory and management of transportation networks. However, users face challenges in accessing high data volumes, especially when considering hardware and software requirements. To address these challenges, the Purdue research team developed a web portal to efficiently store and provide easy access to geospatial data collected along Indiana’s transportation corridors. The web portal provides an easy-to-use interface that allows end-users to manipulate and visualize data without requiring specialized tools. In addition, the Purdue research team developed several functionalities, which are integrated into the web portal to improve transportation infrastructure management.
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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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Brinster, Gregory L., Mona Hodaei, Aser M. Eissa, et al. Leveraging LiDAR Intensity to Evaluate Roadway Pavement Marking Retroreflectivity. Purdue University, 2025. https://doi.org/10.5703/1288284317806.

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Clearly visible lane markings are important for all road users, particularly autonomous vehicles. In general, nighttime retroreflectivity is one of the most challenging marking visibility characteristics for agencies to monitor and maintain, particularly in cold weather climates when agency snowplows remove retroreflective material during winter operations. Traditional surface-applied paint and glass beads typically only last one season in climates with routine snowplow activity. Recently, transportation agencies in cold weather climates have begun deploying improved recessed, durable pavement markings that can last several years and have very high retroreflective properties. These recessed durable markings are typically either epoxy, thermoplastic or preformed tape and are typically installed during new construction or significant pavement resurfacing projects. As a result, several dozen installations may occur in a state in any calendar year. This presents a challenge for states that need to program annual re-painting of traditional waterborne paint lines, but not paint over the much more costly durable markings. This study reports on the utilization of mobile mapping LiDAR systems to classify and evaluate pavement markings along a 73-mile section of westbound I-74 in Indiana. LiDAR intensity data can classify pavement markings into 3 groupings: high-performing durable tape, non-tape, and needing maintenance. Color images collected during the LiDAR intensity data collection were used to validate the LiDAR classification. These techniques can be employed by agencies to develop accurate pavement marking inventories that ensure only painted lines (or segments with missing tape) are repainted during annual maintenance.
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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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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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