Relevant bibliographies by topics / Indoor positional navigation

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Indoor positional navigation'

Author: Grafiati
Published: 29 June 2021
Last updated: 29 July 2025

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Journal articles on the topic "Indoor positional navigation"

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Subhash Reddy, S., and Y. Bhaskar Rao. "Indoor Navigation System for Blind People Using VLC." International Journal of Engineering & Technology 7, no. 3.27 (2018): 77. http://dx.doi.org/10.14419/ijet.v7i3.27.17659.

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We propose an indoor navigation system that utilizes visible light communication technology, which employs LED lights and a geomagnetic correction method, aimed at supporting visually impaired people who travel indoors. To verify the effectiveness of this system, we conducted an experiment targeting visually impaired people. Although acquiring accurate positional information and detecting directions indoors is difficult, we confirmed that using this system, accurate positional information and travel direction can be obtained utilizing visible light communication technology, which employs LED l
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Firdaus, Ahmad Riyad, Andreas Hutagalung, Agus Syahputra, and Riska Analia. "Indoor Localization Using Positional Tracking Feature of Stereo Camera on Quadcopter." Electronics 12, no. 2 (2023): 406. http://dx.doi.org/10.3390/electronics12020406.

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During the maneuvering of most unmanned aerial vehicles (UAVs), the GPS is one of the sensors used for navigation. However, this kind of sensor cannot handle indoor navigation applications well. Using a camera might be the answer to performing indoor navigation using its coordinate system. In this study, we considered indoor navigation applications using the ZED2 stereo camera for the quadcopter. To use the ZED 2 camera as a navigation sensor, we first transformed its coordinates into the North, East, down (NED) system to enable the drone to understand its position and maintain stability in a
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Irshad, Liu, Arshad, et al. "A Novel Localization Technique Using Luminous Flux." Applied Sciences 9, no. 23 (2019): 5027. http://dx.doi.org/10.3390/app9235027.

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As global navigation satellite system (GNNS) signals are unable to enter indoor spaces, substitute methods such as indoor localization-based visible light communication (VLC) are gaining the attention of researchers. In this paper, the systematic investigation of a VLC channel is performed for both direct and indirect line of sight (LoS) by utilizing the impulse response of indoor optical wireless channels. In order to examine the localization scenario, two light-emitting diode (LED) grid patterns are used. The received signal strength (RSS) is observed based on the positional dilution of prec
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Vieira, M. A., M. Vieira, V. Silva, P. Louro, L. Mateus, and P. Vieira. "Indoor positioning using a-SiC:H technology." MRS Advances 1, no. 55 (2016): 3685–90. http://dx.doi.org/10.1557/adv.2016.381.

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ABSTRACTThe nonlinear property of SiC multilayer devices under Ultra Violet (UV) irradiation is used to design an optical processor for indoor positioning. The transducers combine the simultaneous demultiplexing operation with the photodetection and self-amplification. Moreover, we present a way to achieve indoor positioning using the parity bits and the navigation syndrome. A 4 bit representation with the original string colour message and the transmitted 7 bit string, the encoding and decoding accurate positional information processes and the design of SiC navigation syndrome generators are
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Rajchowski, Piotr, Jacek Stefanski, Jaroslaw Sadowski, and Krzysztof K. Cwalina. "Person Tracking in Ultra-Wide Band Hybrid Localization System Using Reduced Number of Reference Nodes." Sensors 20, no. 7 (2020): 1984. http://dx.doi.org/10.3390/s20071984.

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In this article a novel method of positional data integration in an indoor hybrid localization system combining inertial navigation with radio distance measurements is presented. A point of interest is the situation when the positional data and the radio distance measurements are obtained from less than thee reference nodes and it is impossible to unambiguously localize the moving person due to undetermined set of positional equations. The presented method allows to continuously provide localization service even in areas with disturbed propagation of the radio signals. Authors performed simula
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Elamin, Ahmed, Ahmed El-Rabbany, and Sunil Jacob. "Event-Based Visual/Inertial Odometry for UAV Indoor Navigation." Sensors 25, no. 1 (2024): 61. https://doi.org/10.3390/s25010061.

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Indoor navigation is becoming increasingly essential for multiple applications. It is complex and challenging due to dynamic scenes, limited space, and, more importantly, the unavailability of global navigation satellite system (GNSS) signals. Recently, new sensors have emerged, namely event cameras, which show great potential for indoor navigation due to their high dynamic range and low latency. In this study, an event-based visual–inertial odometry approach is proposed, emphasizing adaptive event accumulation and selective keyframe updates to reduce computational overhead. The proposed appro
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Kozmus Trajkovski, Klemen, Tilen Urbančič, Bojan Stopar, and Dejan Grigillo. "Photogrammetric traverse for indoor positioning." Geodetski vestnik 69, no. 02 (2025): 148–79. https://doi.org/10.15292/geodetski-vestnik.2025.02.148-179.

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The article presents the use of photogrammetric traverses for image orientation and the acquisition of mass spatial data in environments where GNSS (Global Navigation Satellite Systems) or tachymetric surveys are not available or not reliable, such as inside buildings. The photogrammetric traverses were tested indoors. The basic idea of a photogrammetric traverse is to start from an area where the positions of the ground control points are surveyed and then use a still camera to develop a traverse of overlapping images. The images are then processed with SfM (Structure from Motion) to calculat
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Kobayashi, Hiroyuki. "Indoor Positioning Scheme Using Off-the-Shelf Lighting Fixtures’ Fingerprints." Journal of Robotics and Mechatronics 35, no. 3 (2023): 780–87. http://dx.doi.org/10.20965/jrm.2023.p0780.

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This paper discusses an indoor positioning technique aimed at human-centric services such as pedestrian navigation or service robots. The method is called “CEPHEID” and uses a light flickering pattern as an environmental fingerprint. The authors found that each lighting fixture has unique and distinguishable flickering characteristics. In this paper, CEPHEID is introduced as a “classifier” and its validity is shown based on experimental results. Additionally, an approach for improving the positional precision is proposed. The classifier and regressor are combined to create a zone-classified re
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Antonopoulos, Angelos, Michail G. Lagoudakis, and Panagiotis Partsinevelos. "A ROS Multi-Tier UAV Localization Module Based on GNSS, Inertial and Visual-Depth Data." Drones 6, no. 6 (2022): 135. http://dx.doi.org/10.3390/drones6060135.

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Uncrewed aerial vehicles (UAVs) are continuously gaining popularity in a wide spectrum of applications, while their positioning and navigation most often relies on Global Navigation Satellite Systems (GNSS). However, numerous conditions and practices require UAV operation in GNSS-denied environments, including confined spaces, urban canyons, vegetated areas and indoor places. For the purposes of this study, an integrated UAV navigation system was designed and implemented which utilizes GNSS, visual, depth and inertial data to provide real-time localization. The implementation is built as a pac
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Turnip, Arjon, Muhamad Arsyad Faridhan, Bambang Mukti Wibawa, and Nursanti Anggriani. "Autonomous Medical Robot Trajectory Planning with Local Planner Time Elastic Band Algorithm." Electronics 14, no. 1 (2025): 183. https://doi.org/10.3390/electronics14010183.

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Robots have made significant contributions across various industries due to their efficiency and effectiveness. However, indoor navigation remains challenging due to complex environments and sensor signal interference. Changes in indoor conditions and the limited range of GPS signals necessitate the development of an accurate and efficient indoor robot navigation system. This study aims to create an autonomous indoor navigation system for medical robots using sensors such as Marvelmind, LiDAR, IMU, and an odometer, along with the Time Elastic Band (TEB) local planning algorithm to detect dynam
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Dissertations / Theses on the topic "Indoor positional navigation"

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Rågmark, Johan. "Calibration and Evaluation of Inertial Navigation with Zero Velocity Update for Industrial Fastening Tools." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-298025.

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Indoor Positional Navigation (IPN) systems can be used to track the position of tools in factories which is crucial for quality assurance in many manufacturing industries. Inertial navigation is rarely used on its own because of the noisy Inertial Measurement Unit (IMU) sensors which contribute to large drift. Current IPN systems usually involve the installation and calibration of cameras or antennas, so achieving sufficient accuracy with inertial navigation based IPN would be very desirable. This project aims to evaluate an inertial navigation algorithm, based on Zero Velocity Update (ZUPT),
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Yu-ChingMai and 麥耘菁. "Integration of Indoor Position and Navigation using Monocular SLAM and IMU." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/89821323813015095949.

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碩士<br>國立成功大學<br>航空太空工程學系<br>103<br>GPS (Global Positioning System) dependent positioning and navigation has been developed over recent years, and has been widely used for outdoor positioning and navigation. However, high-rise buildings or indoor environments can block the satellite signal. Therefore, many indoor positioning methods have been developed to respond to this issue. In addition to measuring the distance using sonar and laser, this research uses monocular simultaneous localization and mapping (MonoSLAM) combined with an inertial measurement unit (IMU) to build an indoor positioning s
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Francisco, Garcia Nadal Vicent. "Combining WLAN fingerprint-based localization with sensor data for indoor navigation using mobile devices." Master's thesis, 2014. http://hdl.handle.net/10362/13795.

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This project proposes an approach for supporting Indoor Navigation Systems using Pedestrian Dead Reckoning-based methods and by analyzing motion sensor data available in most modern smartphones. Processes suggested in this investigation are able to calculate the distance traveled by a user while he or she is walking. WLAN fingerprint- based navigation systems benefit from the processes followed in this research and results achieved to reduce its workload and improve its positioning estimations.
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Book chapters on the topic "Indoor positional navigation"

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Torkar, Drago. "Indoor Navigation with a Smartphone." In Intelligent Secure Trustable Things. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54049-3_8.

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AbstractThis chapter presents a cost-effective system for indoor localization and navigation that does not require the use of satellite positioning or data communication networks. The system, implemented as a smartphone app, relies on QR codes that are pre-generated and attached to the walls inside the building. By utilizing the information from these codes and the smartphone's inertial motion unit (IMU) sensors processed by the Pedestrian Dead-Reckoning (PDR) algorithm, the user's current position can be determined. The Dijkstra navigation algorithm is then used to guide the user to the desir
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Uchiya, Takahiro, Kiyotaka Sato, and Shinsuke Kajioka. "BLE Beacon Based Indoor Position Estimation Method for Navigation." In Advances in Network-Based Information Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98530-5_60.

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Sharp, Ian, and Kegen Yu. "New Methods for Improved Indoor Signal Strength Positioning." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3528-7.ch001.

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This chapter focuses on positioning based on received signal strength measurements and radio path-loss modeling. Typically, receiver signal strength from a device such as a smart phone is used to calculate the path-loss and thus estimate distances using a loss model calibrated in an offline process. With known positions and ranges to WiFi access points or simple devices using Bluetooth or Zigbee for data communications, the mobile device position can be estimated. However, due to the complex multipath propagation indoor environment, distance estimation and position determination using current
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Ye, Tingfeng, Juzhong Zhang, Yingcai Wan, Ze Cui, and Hongbo Yang. "Incremental 2D Grid Map Generation from RGB-D Images." In Proceedings of CECNet 2021. IOS Press, 2021. http://dx.doi.org/10.3233/faia210433.

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In this paper, we extend RGB-D SLAM to address the problem that sparse map-building RGB-D SLAM cannot directly generate maps for indoor navigation and propose a SLAM system for fast generation of indoor planar maps. The system uses RGBD images to generate positional information while converting the corresponding RGBD images into 2D planar lasers for 2D grid navigation map reconstruction of indoor scenes under the condition of limited computational resources, solving the problem that the sparse point cloud maps generated by RGB-D SLAM cannot be directly used for navigation. Meanwhile, the pose
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Gaber, Heba, Mohamed Marey, Safaa Amin, and Mohamed F. Tolba. "Localization and Mapping for Indoor Navigation." In Handbook of Research on Machine Learning Innovations and Trends. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2229-4.ch007.

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Mapping and exploration for the purpose of navigation in unknown or partially unknown environments is a challenging problem, especially in indoor environments where GPS signals can't give the required accuracy. This chapter discusses the main aspects for designing a Simultaneous Localization and Mapping (SLAM) system architecture with the ability to function in situations where map information or current positions are initially unknown or partially unknown and where environment modifications are possible. Achieving this capability makes these systems significantly more autonomous and ideal for
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Gaber, Heba, Mohamed Marey, Safaa Amin, and Mohamed F. Tolba. "Localization and Mapping for Indoor Navigation." In Robotic Systems. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1754-3.ch046.

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Mapping and exploration for the purpose of navigation in unknown or partially unknown environments is a challenging problem, especially in indoor environments where GPS signals can't give the required accuracy. This chapter discusses the main aspects for designing a Simultaneous Localization and Mapping (SLAM) system architecture with the ability to function in situations where map information or current positions are initially unknown or partially unknown and where environment modifications are possible. Achieving this capability makes these systems significantly more autonomous and ideal for
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Flávio de Melo, Leonimer, Evandro Junior Rodrigues, and João Maurício Rosário. "Wheelchair Secure Navigation with RF Signal Triangulation and Genetic Algorithm Optimization." In Advances in Computational Intelligence and Robotics. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-7387-8.ch024.

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This chapter describes an approach of secure navigation systems for wheelchairs and mobile robots platforms, using RF signal triangulation and Extended Kalman Filter in conjunction with Genetic Algorithm for indoor trajectory optimization. Initial systems are implemented and tested at virtual environment with conception of supervision and control systems for mobile robots, which are capable of operating and adapting in different environments and conditions. Validation of this environment is made in a nonholonomic mobile robot and in a wheelchair; both used an embedded control rapid prototyping
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Miah M. Suruz and Gueaieb Wail. "On the Implementation of an Efficient Mobile Robot Navigation System: An RFID Approach." In Intelligent Autonomous Systems 11. IOS Press, 2010. https://doi.org/10.3233/978-1-60750-613-3-194.

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In this manuscript, we pioneer an efficient indoor mobile robot navigation system using signal strength of a customized RFID system. The RFID reader is mounted on the robot and a set of RFID tags are attached to 3-D points which are known as targets to be reached by the mobile robot in an indoor workspace. First, the direction of a current target is estimated through received signal strength (RSS) measurements of the customized RFID reader. The robot's current orientation is updated to head approximately towards the target. It then applies necessary actions to its actuator to reach the current
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Bianchi Federico, Masciadri Andrea, and Salice Fabio. "ODINS: On-Demand Indoor Navigation System RFID Based." In Studies in Health Technology and Informatics. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-566-1-341.

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This paper presents an On-Demand Indoor Navigation System (ODINS) based on RFID technology. ODINS is a distributed infrastructure where a set of information points (Fixed Stations &amp;ndash; FS) provides the direction to a user who has to reach the destination point he/she has previously selected. ODINS system is proposed for residencies hosting people with mild cognitive disabilities and elderly but it can be also applied to structures where people could be disoriented. The destination is configured at some reception points or it is a predefined (e.g. the bed room or a selected &amp;ldquo;sa
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Chen, Liang, Heidi Kuusniemi, Yuwei Chen, et al. "Information Filter-Assisted Indoor Bluetooth Positioning." In Advances in Systems Analysis, Software Engineering, and High Performance Computing. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6034-2.ch007.

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This chapter studies wireless positioning using a network of Bluetooth signals. Fingerprints of Received Signal Strength Indicators (RSSI) are used for localization. Due to the relatively long interval between the available consecutive Bluetooth signal strength measurements, the authors applied an information filter method with speed detection, which combines the estimation information from the RSSI measurements with the prior information from the motion model. Speed detection is assisted to correct the outliers of position estimation. The field tests show the effectiveness of the information
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Conference papers on the topic "Indoor positional navigation"

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Delabie, Daan, Bert Cox, Thomas Feys, Liesbet Van der Perre, and Lieven De Strycker. "Position Dependent Anchor Selection for Scalable Hybrid RF-Acoustic Indoor Positioning." In 2024 14th International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2024. https://doi.org/10.1109/ipin62893.2024.10786115.

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Kaiser, Susanna, Stephan Sand, Umut Güloglu, Oliver Heirich, and Thomas Wiedemann. "Prototype-Development for Combined Indoor Navigation, Communication, and Mapping for First Responder Applications." In 2025 IEEE/ION Position, Location and Navigation Symposium (PLANS). IEEE, 2025. https://doi.org/10.1109/plans61210.2025.11028200.

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Hager, Philipp, Susanna Kaiser, and Christian Gentner. "Barometer-Driven Height Estimation for Indoor Positioning Including Elevator and Escalator Detection Mechanisms." In 2025 IEEE/ION Position, Location and Navigation Symposium (PLANS). IEEE, 2025. https://doi.org/10.1109/plans61210.2025.11028251.

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Barawkar, Shraddha, Mohammadreza Radmanesh, Manish Kumar, and Kelly Cohen. "Admittance Based Force Control for Collaborative Transportation of a Common Payload Using Two UAVs." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5278.

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This paper presents a novel control approach to perform collaborative transportation by using multiple quadcopter Unmanned Aerial Vehicles (UAVs). In this paper, a leader-follower approach is implemented. The leader UAV uses a Proportional, Integral and Derivative (PID) controller to reach the desired goal point or follow a predefined trajectory. Traditionally, a Position Feedback Controller (PFC) has been used in literature to control the follower UAV. PFC takes the feedback of leader UAVs position to control the follower UAV. Such control schemes work effectively in indoor environments using
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"INDOOR NAVIGATION USING APPROXIMATE POSITIONS." In International Conference on Wireless Information Networks and Systems. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0002189301680171.

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Rydell, Joakim, and Erika Emilsson. "CHAMELEON: Visual-inertial indoor navigation." In 2012 IEEE/ION Position, Location and Navigation Symposium - PLANS 2012. IEEE, 2012. http://dx.doi.org/10.1109/plans.2012.6236925.

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Chowaw-Liebman, Ory, Uta Christoph, Karl-Heinz Krempels, and Christoph Terwelp. "Indoor navigation approach based on approximate positions." In 2010 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2010. http://dx.doi.org/10.1109/ipin.2010.5646775.

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Bekkelien, Anja, and Michel Deriaz. "Harmonization of position providers." In 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2012. http://dx.doi.org/10.1109/ipin.2012.6418855.

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Gentner, Christian, Markus Ulmschneider, Isabel Kuehner, and Armin Dammann. "WiFi-RTT Indoor Positioning." In 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS). IEEE, 2020. http://dx.doi.org/10.1109/plans46316.2020.9110232.

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Challamel, Remi, Phillip Tome, Dave Harmer, and Stephane Beauregard. "Performance assessment of indoor location technologies." In 2008 IEEE/ION Position, Location and Navigation Symposium. IEEE, 2008. http://dx.doi.org/10.1109/plans.2008.4569982.

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