Relevant bibliographies by topics / Indoor Positioning System

Academic literature on the topic 'Indoor Positioning System'

Author: Grafiati
Published: 4 June 2021
Last updated: 21 February 2023

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Journal articles on the topic "Indoor Positioning System"

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Puri, Sahil. "Indoor Positioning System using Bluetooth." International Journal of Engineering Research 4, no. 5 (May 1, 2015): 244–47. http://dx.doi.org/10.17950/ijer/v4s5/507.

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Rutvik, Jaini. "Indoor Positioning System." International Journal of Applied Engineering Research 15, no. 12 (December 30, 2020): 1142–46. http://dx.doi.org/10.37622/ijaer/15.12.2020.1142-1146.

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Obretin, Alexandru Marius. "Infrastructure free indoor positioning system." Proceedings of the International Conference on Business Excellence 14, no. 1 (July 1, 2020): 124–33. http://dx.doi.org/10.2478/picbe-2020-0013.

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AbstractLatest technological advancement uncovered new social and entrepreneurial opportunities in fields like civil engineering and facility management. While most outdoor location challenges have been addressed in the past few years, with declassified military technologies such as Motion Imagery Standards Board and North Atlantic Treaty Organization Digital Motion Imagery Standard being integrated into solutions that enhance real-time emulation of surveillance video streams over digital maps, there is plenty of room for innovation when indoor location is considered. The market associated to indoor positioning is expected to significantly grow in the following decade since people spend more and more time indoors and promising advantages of such technologies have been identified in healthcare, retail, logistics and leisure. Yet, conventional indoor positioning systems mostly rely on costly and difficult to maintain infrastructure. Discordantly, the hereby paper is introducing an infrastructure free indoor positioning web application designed for routing people inside facilities and building evacuation scenarios. The proposed architecture is independent on external hardware or beacons, relying on a generic sensors framework that exposes the underlying capabilities of a mobile phone for data collection and internet connection for assessing current location and providing guidance in respect with an already known topography. Therefore, this design might be easily extended to various facilities, individualizing through no initial costs for sensors deployment and light resource consumption for the user, since data is not processed on a native application. Such flexibility is considered to optimize the navigation inside large public places and reduce the time required to find products, people or shops, offering the users more time for what matters.
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Dari, Yohanes Erwin, Suyoto Suyoto Suyoto, and Pranowo Pranowo Pranowo. "CAPTURE: A Mobile Based Indoor Positioning System using Wireless Indoor Positioning System." International Journal of Interactive Mobile Technologies (iJIM) 12, no. 1 (January 23, 2018): 61. http://dx.doi.org/10.3991/ijim.v12i1.7632.

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The existence of mobile devices as a location pointing device using Global Positioning System (GPS) is a very common thing nowadays. The use of GPS as a tool to determine the location of course has a shortage when used indoors. Therefore, the used of indoor location-based services in a room that leverages the use of Access Point (AP) is very important. By using the information of the Received Signal Strength (RSS) obtained from AP, then the location of the device can be determined without the need to use GPS. This technique is called the location fingerprint technique using the characteristics of received RSS’s fingerprint, then use it to determine the position. To get a more accurate position then authors used the K-Nearest Neighbor (KNN) method. KNN will use some of the data that obtained from some AP to assist in positioning the device. This solution of course would be able to determine the position of the devices in a storied building.
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Zou, Deyue, Shutong Niu, Shuhao Chen, Binhong Su, Xinyi Cheng, Jie Liu, Yunfeng Liu, and Yang Li. "A smart city used low-latency seamless positioning system based on inverse global navigation satellite system technology." International Journal of Distributed Sensor Networks 15, no. 9 (September 2019): 155014771987381. http://dx.doi.org/10.1177/1550147719873815.

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People have to move between indoor and outdoor frequently in city scenarios. The global navigation satellite system signal cannot provide reliable indoor positioning services. To solve the problem, this article proposes a seamless positioning system based on an inverse global navigation satellite system signal, which can extend the global navigation satellite system service into the indoor scenario. In this method, a signal source is arranged at a key position in the room, and the inverse global navigation satellite system signal is transmitted to the global navigation satellite system receiver to obtain a preset positioning result. The indoor positioning service is continued with the inertial navigation system after leaving the key position. The inverse global navigation satellite system seamless positioning system proposed in this article can unify indoor and outdoor positioning using the same receiver. The receiver does not need to re-receive navigation information when the scene changes, which avoids the switching process. Through the design of signal layer coverage, the receiver is in a warm start state, and the users can quickly fix the position when the scenario changes, realizing quick access in a true sense. This enables the ordinary commercial global navigation satellite system receiver to obtain indoor positioning capability without modification, and the algorithm can perform accurate positioning indoors and outdoors without switching.
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Jiang, Wei, Yong Li, Chris Rizos, Baigen Cai, and Wei Shangguan. "Seamless Indoor-Outdoor Navigation based on GNSS, INS and Terrestrial Ranging Techniques." Journal of Navigation 70, no. 6 (July 11, 2017): 1183–204. http://dx.doi.org/10.1017/s037346331700042x.

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We describe an integrated navigation system based on Global Navigation Satellite Systems (GNSS), an Inertial Navigation System (INS) and terrestrial ranging technologies that can support accurate and seamless indoor-outdoor positioning. To overcome severe multipath disturbance in indoor environments, Locata technology is used in this navigation system. Such a “Locata-augmented” navigation system can operate in different positioning modes in both indoor and outdoor environments. In environments where GNSS is unavailable, e.g. indoors, the proposed system is designed to operate in the Locata/INS “loosely-integrated” mode. On the other hand, in outdoor environments, all GNSS, Locata and INS measurements are available, and all useful information can be fused via a decentralised Federated Kalman filter. To evaluate the proposed system for seamless indoor-outdoor positioning, an indoor-outdoor test was conducted at a metal-clad warehouse. The test results confirmed that the proposed navigation system can provide continuous and reliable position and attitude solutions, with the positioning accuracy being better than five centimetres.
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Mautz, Rainer. "Indoor Positioning - An Ad-Hoc Positioning System." Geodesy and Cartography 34, no. 2 (June 1, 2008): 66–70. http://dx.doi.org/10.3846/1392-1541.2008.34.66-70.

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Zhu, Ruihui, Yunjia Wang, Hongji Cao, Baoguo Yu, Xingli Gan, Lu Huang, Heng Zhang, Shuang Li, Haonan Jia, and Jianqiang Chen. "RTK/Pseudolite/LAHDE/IMU-PDR Integrated Pedestrian Navigation System for Urban and Indoor Environments." Sensors 20, no. 6 (March 24, 2020): 1791. http://dx.doi.org/10.3390/s20061791.

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This paper presents an evaluation of real-time kinematic (RTK)/Pseudolite/landmarks assistance heuristic drift elimination (LAHDE)/inertial measurement unit-based personal dead reckoning systems (IMU-PDR) integrated pedestrian navigation system for urban and indoor environments. Real-time kinematic (RTK) technique is widely used for high-precision positioning and can provide periodic correction to inertial measurement unit (IMU)-based personal dead reckoning systems (PDR) outdoors. However, indoors, where global positioning system (GPS) signals are not available, RTK fails to achieve high-precision positioning. Pseudolite can provide satellite-like navigation signals for user receivers to achieve positioning in indoor environments. However, there are some problems in pseudolite positioning field, such as complex multipath effect in indoor environments and integer ambiguity of carrier phase. In order to avoid the limitation of these factors, a local search method based on carrier phase difference with the assistance of IMU-PDR is proposed in this paper, which can achieve higher positioning accuracy. Besides, heuristic drift elimination algorithm with the assistance of manmade landmarks (LAHDE) is introduced to eliminate the accumulated error in headings derived by IMU-PDR in indoor corridors. An algorithm verification system was developed to carry out real experiments in a cooperation scene. Results show that, although the proposed pedestrian navigation system has to use human behavior to switch the positioning algorithm according to different scenarios, it is still effective in controlling the IMU-PDR drift error in multiscenarios including outdoor, indoor corridor, and indoor room for different people.
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Mo, John P. T., and Jason J. S. Lee. "RFID-based indoor positioning system." International Journal of Radio Frequency Identification Technology and Applications 3, no. 1/2 (2011): 141. http://dx.doi.org/10.1504/ijrfita.2011.039788.

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Li, Shuo, and Rashid Rashidzadeh. "Hybrid indoor location positioning system." IET Wireless Sensor Systems 9, no. 5 (October 1, 2019): 257–64. http://dx.doi.org/10.1049/iet-wss.2018.5237.

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Dissertations / Theses on the topic "Indoor Positioning System"

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Xia, Ziqi, and Alvandian Sohrab Mani. "3D Visualized Indoor Positioning System." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-244001.

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Three-dimensional visualization refers to the process by which graphical content is created using the Three-dimensional software. While working with Threedimensional visualization, different indoor positioning techniques can be used to detect and track the movement of objects. Combining these two technologies provide the ability to monitor a room and its objects in real time. Positioning is the process of recording the movement of objects or people. Positioning techniques can be used in many different areas such as emergent situations and tracking objects with potential risks as an aid. It is not self-evident how well this kind of a system would work in the given contexts. To address this, the method has consisted of a literature study focused on existing theories of positioning and different factors that affect the positioning outcome and a case study on positioning systems in a number of existing indoor positioning systems. The purpose of this project is to present and evaluate a prototype where an indoor positioning system will be combined with a specific platform which works with simple types of hardware signals to generate three-dimensional models. The goal is to present a system that will have the ability to be used without any infrastructure or external hardware. Different indoor positioning systems will be analyzed as well as their use in various scenarios. This thesis evaluates various technical choices, and provides an overview of some of the existing wireless indoor positioning solutions and the theory and methods used, before describing the case study, including the development process, problems faced, the result, and the experimental testing results. In conclusion, the thesis presents a prototype which is validated to fulfill the basic expectation of a three-dimensional visualized indoor positioning system.
Tredimensionell visualisering refererar till processen genom vilken grafisk innehåll skapas med hjälp av tredimensionell programvara. Under arbetet med tredimensionell visualisering kan olika inomhus positioneringstekniker användas för att upptäcka och spåra rörelser av object. Kombinationen av dessa två tekniker ger möjlighet att övervaka ett rum och dess föremål i realtid. Positionering är processen att spela in rörelser av objekt eller personer. Positionering kan användas i många olika områden såsom nödsituationer och spårning av föremål eller brandmän i enbyggnad som brinner eller detektering av polishundar som är utbildade för att hitta sprängämnen i en byggnad. Det är inte självklart hur bra ett sådant system skulle fungera i de givna sammanhangen. För att ta itu med detta, har metoden bestått av en litteraturstudie inriktat på befintliga teorier om positionering, olika faktorer som påverkar positionerings resultatet samt en fallstudie om positioneringssystem i ett antal befintliga inomhus positioneringssystem. Syftet med detta projekt är att presentera och utvärdera en prototyp där ett inomhuspositioneringssystem kombineras med en specifik plattform som arbetar med enkla typer av hårdvaru signaler för att generera tredimensionella modeller. Målet är att presentera ett system som kommer kunna användas utan någon infrastruktur eller extern hårdvara. Olika inomhus positioneringssystem kommer att analyserar såväl som deras användning i olika scenarier. Denna avhandling utvärderar olika tekniska val och ger en översikt över några av de befintliga trådlösa inomhuspositioneringlösningarna och ger teorin och metoderna, innan fallstudien beskrivs, inklusive: utvecklingsprocessen, problem, resultat och experimentella testresultat. Sammanfattningsvis presenterar avhandlingen en prototyp som valideras för att uppfylla de grundläggande förväntningarna för ett tredimensionellt visualiserat inomhus positioneringssystem.
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Broberg, Robin, and Fredrik Gadnell. "Platform-independent indoor positioning system." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-211341.

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The purpose of this thesis is to investigate the possibility and feasibility of a platform-independent positioning system capable of determining the location of mobile devices without imposing additional requirements on the hardware and software of the device other than supporting Wi-Fi. Focus is on designing a scalable system capable of positioning devices on multiple sites. The suggested solution uses commercially available Wi-Fi access points to observe the received signal strength when a device probes for nearby access points. The information gathered by the access points is forwarded to a server cluster that uses the signal strength data to determine the location of the device.
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Reyes, Omar Costilla. "Dynamic WIFI Fingerprinting Indoor Positioning System." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc699843/.

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A technique is proposed to improve the accuracy of indoor positioning systems based on WIFI radio-frequency signals by using dynamic access points and fingerprints (DAFs). Moreover, an indoor position system that relies solely in DAFs is proposed. The walking pattern of indoor users is classified as dynamic or static for indoor positioning purposes. I demonstrate that the performance of a conventional indoor positioning system that uses static fingerprints can be enhanced by considering dynamic fingerprints and access points. The accuracy of the system is evaluated using four positioning algorithms and two random access point selection strategies. The system facilitates the location of people where there is no wireless local area network (WLAN) infrastructure deployed or where the WLAN infrastructure has been drastically affected, for example by natural disasters. The system can be used for search and rescue operations and for expanding the coverage of an indoor positioning system.
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Rodríguez, Frías Myrna. "An electromagnetic spectrum aware indoor positioning system." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/an-electromagnetic-spectrum-aware-indoor-positioning-system(fbf361a9-d5aa-46e8-b905-8a26b2369a1a).html.

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The principal objectives of this research are: to investigate the performance of different fingerprint-based WiFi Indoor Positioning Systems (IPS), analyse historical long-term data signals, detection of signal change points and outliers; then present an enhanced method that generates temporal based fingerprints. The proposed method consists of analysing signal strength profiles over time and detecting points at which the profile behaviour changes. This methodology can be used to dynamically adjust the fingerprint based on environmental factors, and with this select the relevant Wireless Access Points (WAPs) to be used for fingerprinting. The use of an Exponentially Weighted Moving Average (EWMA) Control Chart is investigated for this purpose. A long-term analysis of the WiFi scenery is presented and used as a test-bed for evaluation of state-of-the-art fingerprinting techniques. Data was collected and analysed over a period of 18 months, with over 840 different WAPs detected in over 77,000 observations covering 47 different locations of varying characteristics. A fully functional IPS has been developed and the design and implementation is described in this thesis. The system allows the scanning and recording of WiFi signals in order to define the generation of temporal fingerprints that can create radio-maps, which then allow indoor positioning to occur. This thesis presents the theory behind the concept and develops the technology to create a testable implementation. Experiments and their evaluation are also included. Based on the timestamp experiments the proposed system shows there is still room level accuracy, with a reduction in radio-map size.
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Huang, Huan. "Visualization tool used in indoor positioning system." Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-25501.

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Torstensson, David. "Indoor Positioning System using Bluetooth Beacon Technology." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-34917.

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Agmell, Simon, and Marcus Dekker. "IR-Based Indoor Localisation and Positioning System." Thesis, Linköpings universitet, Fysik och elektroteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158175.

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This thesis presents a prototype beacon-based indoor positioning system using IR-based triangulation together with various inertial sensors mounted onto the receiver. By applying a Kalman filter, the mobile receivers can estimate their position by fusing the data received from the two independent measurement systems. Furthermore, the system is aimed to operate and conduct all calculations using microcontrollers. Multiple IR beacons and an AGV were constructed to determine the systems performance. Empirical and practical experiments show that the proposed localisation system is capable centimeter accuracy. However, because of hardware limitation the system has lacking update frequency and range. With the limitations in mind, it can be established that the final sensor-fused solution shows great promise but requires an extended component assessment and more advanced localisation estimations method such as an Extended Kalman Filter or particle filter to increase reliability.
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Sehloho, Nobaene Elizabeth. "An indoor positioning system using multiple methods and tools." Thesis, Cape Peninsula University of Technology, 2015. http://hdl.handle.net/20.500.11838/2288.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2015.
Recently, the deployment and availability of wireless technology have led to the development of location and positioning services. These Location Based Services (LBSs) are attracting the attention of researchers and mobile service providers. With the importance of ubiquitous computing, the main challenge seen in the LBS is in the mobile positioning or localization within reasonable and certain accuracy. The Global Positioning System (GPS), as a widely known and used navigation system, is only appropriate for use in outdoor environments, due to the lack of line-of-sight (LOS) in satellite signals that they cannot be used accurately inside buildings and premises. Apart from GPS, Wi-Fi is among others, a widely used technology as it is an already existing infrastructure in most places. This work proposes and presents an indoor positioning system. As opposed to an Ad-hoc Positioning System (APS), it uses a Wireless Mesh Network (WMN). The system makes use of an already existing Wi-Fi infrastructure. Moreover, the approach tests the positioning of a node with its neighbours in a mesh network using multi-hopping functionality. The positioning measurements used were the ICMP echo requests, RSSI and RTS/CTS requests and responses. The positioning method used was the trilateral technique, in combination with the idea of the fingerprinting method. Through research and experimentation, this study developed a system which shows potential as a positioning system with an error of about 2 m – 3 m. The hybridization of the methods proves an enhancement in the system though improvements are still required
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Parikh, Hemish K. "An RF system design for an ultra wideband indoor positioning system." Worcester, Mass. : Worcester Polytechnic Institute, 2008. http://www.wpi.edu/Pubs/ETD/Available/etd-031108-203800/.

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Eiselt, Jonas, and Danial Mahmoud. "Indoor positioning system using ultrasound combined with multilateration." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20729.

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Under det senaste decenniet har inomhuspositionering fått en ökad popularitet och stått i fokus för forskning och utveckling, eftersom det ger praktiska möjligheter till att spåra och navigera objekt och människor i inomhusmiljöer. Det finns ingen global lösning för inomhuspositionering baserat på en enstaka teknologi såsom det gör för utomhuspositionering med sin satellitbaserade globala positioneringssystem. Många inomhusteknologier står inför många utmaningar såsom låg positioneringsnoggrannhet samt dyr och stor hårdvara. Den här uppsatsen beskriver hur en simpel och kostnadseffektiv lösning, som addresserar problemen med noggrannheten och hårdvarukostnaden, genom en iterativ forskningsmetod, utvecklades. Vår lösning är ett ultraljudsbaserat passivt sändare-mottagare system som kombinerar multilateration som positioneringsteknik och tidsskillnad av ankomst (TDOA) som mätprincip för att beräkna en 3D-position inuti en 4x2x2 m testyta med en övergripande noggrannhet på 16 cm inom ett 95% konfidensintervall. Vi registrerade noggranna TDOA-värden med en komparatorkrets som fungerade som en amplitud-trigger. Det här tillvägagångssättet var mycket enklare än vad andra relaterade arbeten använde sig av, vilket var sampling för att bearbeta inkommande signaler från sändarna.
During the past decade, indoor positioning has gained more popularity and has become a focus of research and development as it provides practical possibilities to track and navigate objects and people in indoor environments. There is no overall solution for indoor positioning based on a single technology like the solution for outdoor positioning with its satellite-based global positioning system. Many indoor positioning technologies today face many challenges such as low positioning accuracy, expensive and large hardware. This thesis describes how a simple and cost-effective solution, that addresses the problem of accuracy and space cost with regards to hardware being used, was developed through an iterative research methodology. Our solution is an ultrasound-based passive receiver-transmitter system that combines multilateration as a positioning technique and time difference of arrival (TDOA) as a measuring principle. This combination is used to calculate a 3D position within a 4x2x2 m test area with an overall accuracy of 16 cm within a 95% confidence interval. We registered accurate TDOA values with a comparator circuit that acts as an amplitude trigger. This approach was much more simple than that of other related works which used sampling to process incoming signals from the transmitters.
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Books on the topic "Indoor Positioning System"

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Mautz, Rainer. Indoor positioning technologies. Zürich: Schweizerische Geodätische Kommission, 2012.

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1974-, Zou Wei, ed. Shi nei yi dong shi fu wu ji qi ren de gan zhi, ding wei yu kong zhi. Beijing: Ke xue chu ban she, 2008.

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

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Karimi, Hassan A. Indoor Wayfinding and Navigation. Taylor & Francis Group, 2015.

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Karimi, Hassan A. Indoor Wayfinding and Navigation. Taylor & Francis Group, 2019.

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Karimi, Hassan A. Indoor Wayfinding and Navigation. Taylor & Francis Group, 2015.

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Karimi, Hassan A. Indoor Wayfinding and Navigation. Taylor & Francis Group, 2015.

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Samama, Nel. Indoor Positioning: Technologies and Performance. Wiley & Sons, Limited, John, 2019.

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Carotenuto, Riccardo, Massimo Merenda, and Demetrio Iero, eds. Sensors and Systems for Indoor Positioning. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-4369-7.

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Schreder, Dirk. Indoor Positioning Systems: Anwendungsgebiete, Technologien und Herausforderungen. Independently Published, 2018.

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Book chapters on the topic "Indoor Positioning System"

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Shekhar, Shashi, and Hui Xiong. "Indoor Positioning System." In Encyclopedia of GIS, 566. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_628.

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Goswami, Subrata. "Global Positioning System." In Indoor Location Technologies, 51–63. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1377-6_4.

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Randell, Cliff, and Henk Muller. "Low Cost Indoor Positioning System." In Ubicomp 2001: Ubiquitous Computing, 42–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45427-6_5.

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Kołakowski, Jerzy, Angelo Consoli, Vitomir Djaja-Josko, Jaouhar Ayadi, Lorenzo Moriggia, and Francesco Piazza. "EIGER Indoor UWB-Positioning System." In Computer Systems for Healthcare and Medicine, 95–112. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003337683-4.

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Frost, Christian, Casper Svenning Jensen, Kasper Søe Luckow, Bent Thomsen, and René Hansen. "Bluetooth Indoor Positioning System Using Fingerprinting." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 136–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29479-2_11.

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Koppar, Anant R., Harshita Singh, Likhita Navali, and Prateek Mohan. "Indoor Positioning System (IPS) in Hospitals." In Algorithms for Intelligent Systems, 171–79. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2248-9_18.

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Brida, Peter, Frantisek Gaborik, Jan Duha, and Juraj Machaj. "Indoor Positioning System Designed for User Adaptive Systems." In New Challenges for Intelligent Information and Database Systems, 237–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19953-0_24.

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Alzantot, Moustafa, Reem Elkhouly, Amal Lotfy, and Moustafa Youssef. "POSTER IPS: A Ubiquitous Indoor Positioning System." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 228–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30973-1_22.

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Hong, JaeMin, ShinHeon Kim, KyuJin Kim, and ChongGun Kim. "Multi-cell Based UWB Indoor Positioning System." In Intelligent Information and Database Systems, 543–54. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14802-7_47.

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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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Conference papers on the topic "Indoor Positioning System"

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Lee, Max Jwo Lem, Hiu Yi Ho, Li-Ta Hsu, and Stephen Ling Ming Au. "BIPS: Building Information Positioning System." In 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2021. http://dx.doi.org/10.1109/ipin51156.2021.9662575.

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Latif, S., R. Tariq, W. Haq, and U. Hashmi. "INDOOR POSITIONING SYSTEM using ultrasonics." In 2012 International Bhurban Conference on Applied Sciences and Technology (IBCAST). IEEE, 2012. http://dx.doi.org/10.1109/ibcast.2012.6177596.

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Lashkari, Arash Habibi, Behrang Parhizkar, and Mike Ng Ah Ngan. "WIFI-Based Indoor Positioning System." In 2010 Second International Conference on Computer and Network Technology. IEEE, 2010. http://dx.doi.org/10.1109/iccnt.2010.33.

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Cervenak, Rastislav, and Pavel Masek. "ARKit as indoor positioning system." In 2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE, 2019. http://dx.doi.org/10.1109/icumt48472.2019.8970761.

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Kawaji, Hisato, Koki Hatada, Toshihiko Yamasaki, and Kiyoharu Aizawa. "Image-based indoor positioning system." In the 1st ACM international workshop. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1878039.1878041.

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Phillips, Shaun, Michael Katchabaw, and Hanan Lutfiyya. "WLocator: An Indoor Positioning System." In Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2007). IEEE, 2007. http://dx.doi.org/10.1109/wimob.2007.4390827.

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Popleteev, Andrei. "HIPS: Human-based indoor positioning system." In 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2016. http://dx.doi.org/10.1109/ipin.2016.7743632.

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Belloni, Fabio, Ville Ranki, Antti Kainulainen, and Andreas Richter. "Angle-based indoor positioning system for open indoor environments." In 2009 6th Workshop on Positioning, Navigation and Communication (WPNC). IEEE, 2009. http://dx.doi.org/10.1109/wpnc.2009.4907836.

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Ozsoy, Kerem, Ayhan Bozkurt, and Ibrahim Tekin. "2D Indoor positioning system using GPS signals." In 2010 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2010. http://dx.doi.org/10.1109/ipin.2010.5647644.

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Puengnim, Anchalee, Lucila Patino-Studencka, Jorn Thielecke, and Gunter Rohmer. "Precise positioning for virtually synchronized pseudolite system." In 2013 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2013. http://dx.doi.org/10.1109/ipin.2013.6817909.

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Reports on the topic "Indoor Positioning System"

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Tran, Huy. Context-Aware Wi-Fi Infrastructure-based Indoor Positioning Systems. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6885.

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