Relevant bibliographies by topics / Indoor mobile mapping system

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Academic literature on the topic 'Indoor mobile mapping system'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Indoor mobile mapping system"

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Park, Joon-Kyu, and Kap-Yong Jung. "Construction of Indoor Spatial Information using Indoor Mobile Mapping System." International Journal of Control and Automation 11, no. 9 (September 30, 2018): 57–66. http://dx.doi.org/10.14257/ijca.2018.11.9.06.

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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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Tsai, G. J., K. W. Chiang, C. H. Chu, Y. L. Chen, N. El-Sheimy, and A. Habib. "THE PERFORMANCE ANALYSIS OF AN INDOOR MOBILE MAPPING SYSTEM WITH RGB-D SENSOR." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W4 (August 26, 2015): 183–88. http://dx.doi.org/10.5194/isprsarchives-xl-1-w4-183-2015.

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Over the years, Mobile Mapping Systems (MMSs) have been widely applied to urban mapping, path management and monitoring and cyber city, etc. The key concept of mobile mapping is based on positioning technology and photogrammetry. In order to achieve the integration, multi-sensor integrated mapping technology has clearly established. In recent years, the robotic technology has been rapidly developed. The other mapping technology that is on the basis of low-cost sensor has generally used in robotic system, it is known as the Simultaneous Localization and Mapping (SLAM). The objective of this study is developed a prototype of indoor MMS for mobile mapping applications, especially to reduce the costs and enhance the efficiency of data collection and validation of direct georeferenced (DG) performance. The proposed indoor MMS is composed of a tactical grade Inertial Measurement Unit (IMU), the Kinect RGB-D sensor and light detection, ranging (LIDAR) and robot. In summary, this paper designs the payload for indoor MMS to generate the floor plan. In first session, it concentrates on comparing the different positioning algorithms in the indoor environment. Next, the indoor plans are generated by two sensors, Kinect RGB-D sensor LIDAR on robot. Moreover, the generated floor plan will compare with the known plan for both validation and verification.
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Karam, Samer, George Vosselman, Michael Peter, Siavash Hosseinyalamdary, and Ville Lehtola. "Design, Calibration, and Evaluation of a Backpack Indoor Mobile Mapping System." Remote Sensing 11, no. 8 (April 13, 2019): 905. http://dx.doi.org/10.3390/rs11080905.

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Indoor mobile mapping systems are important for a wide range of applications starting from disaster management to straightforward indoor navigation. This paper presents the design and performance of a low-cost backpack indoor mobile mapping system (ITC-IMMS) that utilizes a combination of laser range-finders (LRFs) to fully recover the 3D building model based on a feature-based simultaneous localization and mapping (SLAM) algorithm. Specifically, we use robust planar features. These are advantageous, because oftentimes the final representation of the indoor environment is wanted in a planar form, and oftentimes the walls in an indoor environment physically have planar shapes. In order to understand the potential accuracy of our indoor models and to assess the system’s ability to capture the geometry of indoor environments, we develop novel evaluation techniques. In contrast to the state-of-the-art evaluation methods that rely on ground truth data, our evaluation methods can check the internal consistency of the reconstructed map in the absence of any ground truth data. Additionally, the external consistency can be verified with the often available as-planned state map of the building. The results demonstrate that our backpack system can capture the geometry of the test areas with angle errors typically below 1.5° and errors in wall thickness around 1 cm. An optimal configuration for the sensors is determined through a set of experiments that makes use of the developed evaluation techniques.
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Ruslan, Nurfadhilah, Nabilah Naharudin, Abdul Hakim Salleh, Maisarah Abdul Halim, and Zulkiflee Abd Latif. "Indoor Model for Walking Environment using Mobile Mapping System." IOP Conference Series: Earth and Environmental Science 767, no. 1 (May 1, 2021): 012026. http://dx.doi.org/10.1088/1755-1315/767/1/012026.

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Iwaszczuk, D., Z. Koppanyi, J. Pfrang, and C. Toth. "EVALUATION OF A MOBILE MULTI-SENSOR SYSTEM FOR SEAMLESS OUTDOOR AND INDOOR MAPPING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W2 (September 12, 2019): 31–35. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w2-31-2019.

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<p><strong>Abstract.</strong> Indoor mapping has been gaining importance recently. One of the main applications of indoor maps is personal navigation. For this application, the connection to the outdoor map is very important, as users typically enter the building from outside and navigate to their destination inside. Obtaining this connection, however, is challenging, as the georeferencing of indoor maps is difficult due to the weak or total lack of GPS signal which makes positioning impossible in general. One solution for this problem could be matching indoor and outdoor datasets. Unfortunately, this is difficult due to the very low or non-existing overlap between the indoor and outdoor datasets as well as the differences in different. To overcome this problem, we propose a mobile mapping system, which can seamlessly capture the outdoor and indoor scene. Our prototype system contains three laser scanners, six RGB cameras, two GPS receivers and one IMU. In this paper, we propose an approach to seamlessly map a building and define the requirements for the mapping system. We primarily describe the construction phase of this system. Finally, we evaluate the performance of our mapping system with regard to the defined requirements.</p>
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Nüchter, A., D. Borrmann, P. Koch, M. Kühn, and S. May. "A MAN-PORTABLE, IMU-FREE MOBILE MAPPING SYSTEM." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W5 (August 19, 2015): 17–23. http://dx.doi.org/10.5194/isprsannals-ii-3-w5-17-2015.

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Mobile mapping systems are commonly mounted on cars, ships and robots. The data is directly geo-referenced using GPS data and expensive IMU (inertial measurement systems). Driven by the need for flexible, indoor mapping systems we present an inexpensive mobile mapping solution that can be mounted on a backpack. It combines a horizontally mounted 2D profiler with a constantly spinning 3D laser scanner. The initial system featuring a low-cost MEMS IMU was revealed and demonstrated at <i>MoLaS: Technology Workshop Mobile Laser Scanning at Fraunhofer IPM</i> in Freiburg in November 2014. In this paper, we present an IMU-free solution.
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Otero, Roi, Susana Lagüela, Iván Garrido, and Pedro Arias. "Mobile indoor mapping technologies: A review." Automation in Construction 120 (December 2020): 103399. http://dx.doi.org/10.1016/j.autcon.2020.103399.

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Wen, C., Y. Xia, Y. Lian, Y. Dai, J. Tan, C. Wang, and J. Li. "MOBILE LASER SCANNING SYSTEMS FOR GPS/GNSS-DENIED ENVIRONMENT MAPPING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1 (September 26, 2018): 457–60. http://dx.doi.org/10.5194/isprs-archives-xlii-1-457-2018.

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<p><strong>Abstract.</strong> Indoor 3D mapping provides a useful three-dimensional structure via an indoor map for many applications. To acquire highly efficient and relatively accurate mapping for large-scale GPS/GNSS-denied scene, we present an upgraded backpacked laser scanning system and a car-mounted indoor mobile laser scanning system. The systems provide both 3D laser scanning point cloud and camera images. In this paper, a simultaneous extrinsic calibration approach for multiple multi-beam LIDAR and multiple cameras is also proposed using the Simultaneous Localization and Mapping (SLAM)-based algorithm. The proposed approach uses the SLAM-based algorithm to achieve a large calibration scene using mobile platforms, registers an acquired multi-beam LIDAR point cloud to the terrestrial LIDAR point cloud to acquire denser points for corner feature extraction, and finally achieves simultaneous calibration. With the proposed mapping and calibration algorithms, we can provide centimetre-lever coloured point cloud with relatively high efficiency and accuracy.</p>
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Maboudi, M., D. Bánhidi, and M. Gerke. "INVESTIGATION OF GEOMETRIC PERFORMANCE OF AN INDOOR MOBILE MAPPING SYSTEM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 637–42. http://dx.doi.org/10.5194/isprs-archives-xlii-2-637-2018.

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Up-to-date and reliable 3D information of indoor environments is a prerequisite for many location- based services. One possibility to capture the necessary 3D data is to make use of Mobile Mapping Systems (MMSs) which rely for instance on SLAM (simultaneous localization and mapping). In most indoor environments, MMSs are by far faster than classic static systems. Moreover, they might deliver the point clouds with higher degree of completeness. In this paper, the geometric quality of point clouds of a state-of-the-art MMS (Viametris iMS3D) is investigated. In order to quantify the quality of iMS3D MMS, four different evaluation strategies namely cloud to cloud, point to plane, target to target and model based evaluation are employed. We conclude that the measurement accuracies are better than 1&amp;thinsp;cm and the precision of the point clouds are better than 3&amp;thinsp;cm in our experiments. For indoor mapping applications with few centimeters accuracy, the system offers a very fast solution. Moreover, as a nature of the current SLAM-based approaches, trajectory loop should be closed, but in some practical situations, closing the local trajectory loop might not be always possible. Our observation reveals that performing continuous repeated scanning could decrease the destructive effect of local unclosed loops.
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Dissertations / Theses on the topic "Indoor mobile mapping system"

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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
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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Althaus, Philipp. "Indoor Navigation for Mobile Robots : Control and Representations." Doctoral thesis, KTH, Numerical Analysis and Computer Science, NADA, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3644.

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This thesis deals with various aspects of indoor navigationfor mobile robots. For a system that moves around in ahousehold or office environment,two major problems must betackled. First, an appropriate control scheme has to bedesigned in order to navigate the platform. Second, the form ofrepresentations of the environment must be chosen.

Behaviour based approaches have become the dominantmethodologies for designing control schemes for robotnavigation. One of them is the dynamical systems approach,which is based on the mathematical theory of nonlineardynamics. It provides a sound theoretical framework for bothbehaviour design and behaviour coordination. In the workpresented in this thesis, the approach has been used for thefirst time to construct a navigation system for realistic tasksin large-scale real-world environments. In particular, thecoordination scheme was exploited in order to combinecontinuous sensory signals and discrete events for decisionmaking processes. In addition, this coordination frameworkassures a continuous control signal at all times and permitsthe robot to deal with unexpected events.

In order to act in the real world, the control system makesuse of representations of the environment. On the one hand,local geometrical representations parameterise the behaviours.On the other hand, context information and a predefined worldmodel enable the coordination scheme to switchbetweensubtasks. These representations constitute symbols, on thebasis of which the system makes decisions. These symbols mustbe anchored in the real world, requiring the capability ofrelating to sensory data. A general framework for theseanchoring processes in hybrid deliberative architectures isproposed. A distinction of anchoring on two different levels ofabstraction reduces the complexity of the problemsignificantly.

A topological map was chosen as a world model. Through theadvanced behaviour coordination system and a proper choice ofrepresentations,the complexity of this map can be kept at aminimum. This allows the development of simple algorithms forautomatic map acquisition. When the robot is guided through theenvironment, it creates such a map of the area online. Theresulting map is precise enough for subsequent use innavigation.

In addition, initial studies on navigation in human-robotinteraction tasks are presented. These kinds of tasks posedifferent constraints on a robotic system than, for example,delivery missions. It is shown that the methods developed inthis thesis can easily be applied to interactive navigation.Results show a personal robot maintaining formations with agroup of persons during social interaction.

Keywords:mobile robots, robot navigation, indoornavigation, behaviour based robotics, hybrid deliberativesystems, dynamical systems approach, topological maps, symbolanchoring, autonomous mapping, human-robot interaction

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Nováková, Věra. "Vypracování metodik pro tvorbu informačního modelu budovy." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2014. http://www.nusl.cz/ntk/nusl-227099.

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This thesis is focused on creation of building information model (BIM) for existing buildings. The main objective of this work is to develop the methodology (workflow) for the creation of BIM model using selected geodetic methods, specifically for the modeling based on the existing documentation of the building, the modeling from the handheld distance meter and the modeling from point cloud acquired by the indoor mapping system. The aim of these workflows is to explore the suitability of these methods, to check the limits of each method and to point out the potential issues. Revit (version 2013 and 2014) was used as an authoring environment for creation of the models. Workflow for modeling based on the documentation of the building shows how to insert drawings into Revit and how to create a model based on these drawings. The workflow was developed based on experience with creation of model of an office building. The workflow for handheld laser distance meter describes how to work with rangefinder equipped with Bluetooth, which allows user to create a model onsite. The third part of this thesis deals with creation of BIM from pointcloud acquired by indoor mobile mapping system. The workflow describes data collection and point clouds processing directly in Revit using the ScanToBIM extension. The results of this work are methodical instructions for the methods described above and the comparison of these methods. Workflows contain recommended procedures and highlight common issues and mistakes. This should enable the readers of this thesis to choose the right method and avoid common mistakes.
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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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McCoig, Kenneth. "A MOBILE ROBOTIC COMPUTING PLATFORM FOR THREE-DIMENSIONAL INDOOR MAPPI." Master's thesis, University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2372.

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There are several industries exploring solutions to quickly and accurately digitize unexplored indoor environments, into useable three-dimensional databases. Unfortunately, there are inherent challenges to the indoor mapping process such as, scanning limitations and environment complexity, which require a specific application of tools to map an environment precisely with low cost and high speed. This thesis successfully demonstrates the design and implementation of a low cost mobile robotic computing platform with laser scanner, for quickly mapping with high resolution, urban and/or indoor environments using a gyro-enhanced orientation sensor and selectable levels of detail. In addition, a low cost alternative solution to three-dimensional laser scanning is presented, via a standard two-dimensional SICK proximity laser scanner mounted to a custom servo motor mount and controlled by external microcontroller. A software system to control the robot is presented, which incorporates and adheres to widely accepted software engineering guidelines and principles. An analysis of the overall system, including robot specifications, system capabilities, and justification for certain design decisions, are described in detail. Results of various open source software algorithms, as it applies to scan data and image data, are also compared; including evaluation of data correlation and registration techniques. In addition, laser scanner mapping tests, specifications, and capabilities are presented and analyzed. A sample design for converting the final scanned point cloud data to a database is presented and assessed. The results suggest the overall project yields a relatively high degree of accuracy and lower cost over most other existing systems surveyed, as well as, the potential for application of the system in other fields. The results also discuss thoughts for possible future research work.
M.S.Cp.E.
Department of Electrical and Computer Engineering
Engineering and Computer Science
Computer Engineering
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Dag, Antymos. "Autonomous Indoor Navigation System for Mobile Robots." Thesis, Linköpings universitet, Programvara och system, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129419.

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With an increasing need for greater traffic safety, there is an increasing demand for means by which solutions to the traffic safety problem can be studied. The purpose of this thesis is to investigate the feasibility of using an autonomous indoor navigation system as a component in a demonstration system for studying cooperative vehicular scenarios. Our method involves developing and evaluating such a navigation system. Our navigation system uses a pre-existing localization system based on passive RFID, odometry and a particle filter. The localization system is used to estimate the robot pose, which is used to calculate a trajectory to the goal. A control system with a feedback loop is used to control the robot actuators and to drive the robot to the goal.   The results of our evaluation tests show that the system generally fulfills the performance requirements stated for the tests. There is however some uncertainty about the consistency of its performance. Results did not indicate that this was caused by the choice of localization techniques. The conclusion is that an autonomous navigation system using the aforementioned localization techniques is plausible for use in a demonstration system. However, we suggest that the system is further tested and evaluated before it is used with applications where accuracy is prioritized.
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Vallivaara, I. (Ilari). "Simultaneous localization and mapping using the indoor magnetic field." Doctoral thesis, Oulun yliopisto, 2018. http://urn.fi/urn:isbn:9789526217741.

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Abstract The Earth’s magnetic field (MF) has been used for navigation for centuries. Man-made metallic structures, such as steel reinforcements in buildings, cause local distortions to the Earth’s magnetic field. Up until the recent decade, these distortions have been mostly considered as a source of error in indoor localization, as they interfere with the compass direction. However, as the distortions are temporally stable and spatially distinctive, they provide a unique magnetic landscape that can be used for constructing a map for indoor localization purposes, as noted by recent research in the field. Most approaches rely on manually collecting the magnetic field map, a process that can be both tedious and error-prone. In this thesis, the map is collected by a robotic platform with minimal sensor equipment. It is shown that a mere magnetometer along with odometric information suffices to construct the map via a simultaneous localization and mapping (SLAM) procedure that builds on the Rao-Blackwellized particle filter as means for recursive Bayesian estimation. Furthermore, the maps are shown to achieve decimeter level localization accuracy that combined with the extremely low-cost hardware requirements makes the presented methods very lucrative for domestic robots. In addition, general auxiliary methods for effective sampling and dealing with uncertainties are presented. Although the methods presented here are devised in mobile robotics context, most of them are also applicable to mobile device-based localization, for example, with little modifications. Magnetic field localization offers a promising alternative to WiFi-based methods for achieving GPS-level localization indoors. This is motivated by the rapidly growing indoor location market
Tiivistelmä Maan magneettikenttään perustuvat kompassit ovat ohjanneet merenkäyntiä vuosisatojen ajan. Rakennusten metallirakenteet aiheuttavat paikallisia häiriöitä tähän magneettikenttään, minkä vuoksi kompasseja on pidetty epäluotettavina sisätiloissa. Vasta viimeisen vuosikymmenen aikana on huomattu, että koska nämä häiriöt ovat ajallisesti pysyviä ja paikallisesti hyvin erottelevia, niistä voidaan muodostaa jokaiselle rakennukselle yksilöllinen häiriöihin perustuva magneettinen kartta, jota voidaan käyttää sisätiloissa paikantamiseen. Suurin osa tämänhetkisistä magneettikarttojen sovelluksista perustuu kartan käsin keräämiseen, mikä on sekä työlästä että tarjoaa mahdollisuuden inhimillisiin virheisiin. Tämä väitöstutkimus tarttuu ongelmaan laittamalla robotin hoitamaan kartoitustyön ja näyttää, että robotti pystyy itsenäisesti keräämään magneettisen kartan hyödyntäen pelkästään magnetometriä ja renkaiden antamia matkalukemia. Ratkaisu perustuu faktoroituun partikkelisuodattimeen (RBPF), joka approksimoi täsmällistä rekursiivista bayesilaista ratkaisua. Robotin keräämien karttojen tarkkuus mahdollistaa paikannuksen n. 10 senttimetrin tarkkuudella. Vähäisten sensori- ja muiden vaatimusten takia menetelmä soveltuu erityisen hyvin koti- ja parvirobotiikkaan, joissa hinta on usein ratkaiseva tekijä. Tutkimuksessa esitellään lisäksi uusia apumenetelmiä tehokkaaseen näytteistykseen ja epävarmuuden hallintaan. Näiden käyttöala ei rajoitu pelkästään magneettipaikannukseen- ja kartoitukseen. Robotiikan sovellusten lisäksi tutkimusta motivoi voimakkaasti kasvava tarve älylaitteissa toimivalle sisätilapaikannukselle. Tämä avaa uusia mahdollisuuksia paikannukselle ympäristöissä, joissa GPS ei perinteisesti toimi
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Miu, Allen Ka Lun 1977. "Design and implementation of an indoor mobile navigation system." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/16810.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
Includes bibliographical references (p. 59-60).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
This thesis describes the design and implementation of CricketNav, an indoor mobile navigation system using the Cricket indoor location sensing infrastructure developed at the MIT Laboratory for Computer Science as part of Project Oxygen. CricketNav navigates users to the desired destination by displaying a navigation arrow on a map. Both the direction and the position of the navigation arrow are updated in real-time as CricketNav steers the users through a dynamically computed path. To support CricketNav, we developed a modular data processing architecture for the Cricket location system, and an API for accessing location information. We implemented a least-squares position estimation algorithm in Cricket and evaluated its performance. We also developed a rich and compact representation of spatial information, and an automated process to extract this information from architectural CAD floorplans.
by Allen Ka Lun Miu.
S.M.
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Taylor, Trevor. "Mapping of indoor environments by robots using low-cost vision sensors." Queensland University of Technology, 2009. http://eprints.qut.edu.au/26282/.

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For robots to operate in human environments they must be able to make their own maps because it is unrealistic to expect a user to enter a map into the robot’s memory; existing floorplans are often incorrect; and human environments tend to change. Traditionally robots have used sonar, infra-red or laser range finders to perform the mapping task. Digital cameras have become very cheap in recent years and they have opened up new possibilities as a sensor for robot perception. Any robot that must interact with humans can reasonably be expected to have a camera for tasks such as face recognition, so it makes sense to also use the camera for navigation. Cameras have advantages over other sensors such as colour information (not available with any other sensor), better immunity to noise (compared to sonar), and not being restricted to operating in a plane (like laser range finders). However, there are disadvantages too, with the principal one being the effect of perspective. This research investigated ways to use a single colour camera as a range sensor to guide an autonomous robot and allow it to build a map of its environment, a process referred to as Simultaneous Localization and Mapping (SLAM). An experimental system was built using a robot controlled via a wireless network connection. Using the on-board camera as the only sensor, the robot successfully explored and mapped indoor office environments. The quality of the resulting maps is comparable to those that have been reported in the literature for sonar or infra-red sensors. Although the maps are not as accurate as ones created with a laser range finder, the solution using a camera is significantly cheaper and is more appropriate for toys and early domestic robots.
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Ghandchi, Bahram, and Taha Saleh. "Indoor Mobile Positioning system (MPS) classification in different wireless technology domain." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17377.

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The main purpose of this thesis work is to find and compare different network characteristics of MPS (Mobile Positioning System) in the different wireless technology domains. Since decades ago MNO’s (Mobile Network Operators) added many new services based on the geographical areas of subscribers and their needs. Here we define wireless networks and go through different types of technologies and do the comparison when they collect different types of data for their location-based services and see if we could have the same accuracy with 2G (second generation) of mobile network as like as 3G (third generation) and higher. Finally, we will come up with a proposal for new age technology.
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Books on the topic "Indoor 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. Zürich: Institut für Geodäsie und Photogrammetrie, Eidgenössische Technische Hochschule Zürich, 2006.

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

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Indoor Wayfinding and Navigation. Taylor & Francis Group, 2015.

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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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Sanfeliu, Alberto, and Juan Andrade Cetto. Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building. Springer, 2010.

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

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Andrade-Cetto, Juan, and Alberto Sanfeliu. Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building (Springer Tracts in Advanced Robotics). Springer, 2006.

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FastSLAM: A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics (Springer Tracts in Advanced Robotics). Springer, 2007.

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Book chapters on the topic "Indoor mobile mapping system"

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Chiang, Kai Wei, Guang-Je Tsai, and Jhih Cing Zeng. "Mobile Mapping Technologies." In Urban Informatics, 439–65. Singapore: 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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Perente, Osman Kerem, and Tacha Serif. "Server-Based Indoor Location Detection System." In Mobile Web and Intelligent Information Systems, 142–53. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97163-6_12.

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Ovchinnikov, I. A., and K. Y. Kudryavtsev. "Indoor Positioning System Based on Mobile Devices." In Advanced Technologies in Robotics and Intelligent Systems, 285–89. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33491-8_34.

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Zhao, Lijun, Yu Liu, Xinkai Jiang, Ke Wang, and Zigeng Zhou. "Indoor Environment RGB-DT Mapping for Security Mobile Robots." In Intelligent Robotics and Applications, 131–41. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27538-9_12.

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Sato, Fumiaki. "Indoor Navigation System Based on Augmented Reality Markers." In Innovative Mobile and Internet Services in Ubiquitous Computing, 266–74. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61542-4_25.

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Acosta-Amaya, Gustavo Alonso, Andrés Felipe Acosta-Gil, Julián López-Velásquez, and Jovani Alberto Jiménez-Builes. "Map-Bot: Mapping Model of Indoor Work Environments in Mobile Robotics." In Studies in Computational Intelligence, 75–95. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71115-3_4.

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Siemiątkowska, Barbara, Bogdan Harasymowicz-Boggio, Maciej Przybylski, Monika Różańska-Walczuk, Mateusz Wiśniowski, and Michał Kowalski. "BIM Based Indoor Navigation System of Hermes Mobile Robot." In Romansy 19 – Robot Design, Dynamics and Control, 375–82. Vienna: Springer Vienna, 2013. http://dx.doi.org/10.1007/978-3-7091-1379-0_46.

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Vochin, Marius, Alexandru Vulpe, Ioana Marcu, and George Suciu. "Low-Power Intelligent Displaying System with Indoor Mobile Location Capability." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 146–53. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23976-3_15.

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An, Hyeon-woo, and Nammee Moon. "Indoor Positioning System Using Pyramidal Beacon in Mobile Augmented Reality." In Advances in Computer Science and Ubiquitous Computing, 17–23. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9343-7_3.

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Wang, Yizhuo, Xuan Xu, Xinyu Wang, and He Xu. "A Novel Indoor Navigation System Based on RFID and LBS Technology." In Innovative Mobile and Internet Services in Ubiquitous Computing, 728–37. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93554-6_71.

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Conference papers on the topic "Indoor mobile mapping system"

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Lee, Keun Wang, and Joon Kyu Park. "Application of Mobile Mapping System for Indoor Geospatial Information Visualization." In Green and Smart Technology 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/astl.2015.120.96.

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Hashemifar, Zakieh, Kyung Won Lee, Nils Napp, and Karthik Dantu. "Geometric Mapping for Sustained Indoor Autonomy." In MobiSys '18: The 16th Annual International Conference on Mobile Systems, Applications, and Services. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3215525.3215531.

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Danielle Delos Santos, Duke, Alron Jan Lam, Jules Macatangay, Ivan Paner, and Courtney Anne Ngo. "Breadcrumb: An indoor simultaneous localization and mapping system for mobile devices." In 2016 IEEE Sensors Applications Symposium (SAS). IEEE, 2016. http://dx.doi.org/10.1109/sas.2016.7479900.

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Yu-Cheol Lee and Seung-Hwan Park. "3D map building method with mobile mapping system in indoor environments." In 2013 16th International Conference on Advanced Robotics (ICAR 2013). IEEE, 2013. http://dx.doi.org/10.1109/icar.2013.6766588.

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Shamseldin, Tamer, Ankit Manerikar, Magdy Elbahnasawy, and Ayman Habib. "SLAM-based Pseudo-GNSS/INS localization system for indoor LiDAR mobile mapping systems." In 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS). IEEE, 2018. http://dx.doi.org/10.1109/plans.2018.8373382.

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Wakim, Rachel, and Jay A. Weitzen. "An autonomous system for high-resolution mapping of indoor wireless coverage." In 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2017. http://dx.doi.org/10.1109/pimrc.2017.8292327.

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Chang, Yu-Chen, Tsung-Te Lai, Hao-Hua Chu, and Polly Huang. "PipeProbe: Mapping Spatial Layout of Indoor Water Pipelines." In 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware. IEEE, 2009. http://dx.doi.org/10.1109/mdm.2009.69.

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Pammer, Viktoria, and Klaus Witrisal. "Ultra Wideband Communication System as Sensor Technology for 3D Mapping." In 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2006. http://dx.doi.org/10.1109/pimrc.2006.254477.

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Zhang, Ying, Juan Liu, Gabriel Hoffmann, Mark Quilling, Kenneth Payne, Prasanta Bose, and Andrew Zimdars. "Real-time indoor mapping for mobile robots with limited sensing." In 2010 IEEE 7th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS). IEEE, 2010. http://dx.doi.org/10.1109/mass.2010.5663778.

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Galetto, Maurizio, Luca Mastrogiacomo, Barbara Pralio, and Cristina Spagnolo. "Indoor Environmental Mapping by Means of Autonomous Guided Agents." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-25224.

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The indoor environmental monitoring of industrial production sites is becoming increasingly important in an attempt to comply with current regulations inhering working conditions and production standards. Although monitoring tasks often consist of repetitive, time-consuming, and sometimes dangerous actions, they are mostly carried out by a human operator, who is responsible for carrying the sensor set around the working area and for enabling the communication with a remote processing system. The aim of the paper is to present the architecture of an integrated autonomous system for three-dimensional mapping of environmental conditions in indoor spaces. The proposed system integrates one (or more) autonomous guided vehicles, carrying the sensor set around the working area, a distributed wireless sensor network, providing a real-time tracking of the mobile agent, and a remote processing unit to store and elaborate the measured data. A prototype implementation of the system is herein described, in order to demonstrate the overall system feasibility.
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Reports on the topic "Indoor mobile mapping system"

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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, January 2019. http://dx.doi.org/10.5703/1288284316730.

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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.), August 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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Indoor radiation mapping using the Laser Assisted Ranging and Data System (LARADS). Innovative technology summary report. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/335212.

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