Comparative Survey of Indoor Positioning Technologies, Techniques, and Algorithms

Al-Ammar, Mai A.; Al-Hadhrami, Suheer; Al-Salman, AbdulMalik S.; Alarifi, Abdulrahman; Al‐Khalifa, Hend S.; Alnafessah, Ahmad; Alsaleh, Mansour

doi:10.1109/cw.2014.41

Cited by 137 publications

(81 citation statements)

References 17 publications

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“…However, if the location of the stationary transmitters are known, lateration and angulation techniques [2,83] can be used in order to obtain position estimates, see Figure 5.3 for an illustration. None of the above methods provides information about the full pose of the receiver, but only about the position.…”

Section: Ultra Wide Bandmentioning

confidence: 99%

On Pose Estimation in Room-Scaled Environments

Nyqvist¹

2016

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Systra mi, du är bäst! Ikväll ska vi tokdansa med Ronny och Ragge på bordet tills byxorna spricker så att mamma får dåndimpen och pappa ramlar ur soffan. AbstractPose (position and orientation) tracking in room-scaled environments is an enabling technique for many applications. Today, virtual reality (vr) and augmented reality (ar) are two examples of such applications, receiving high interest both from the public and the research community. Accurate pose tracking of the vr or ar equipment, often a camera or a headset, or of different body parts is crucial to trick the human brain and make the virtual experience realistic. Pose tracking in room-scaled environments is also needed for reference tracking and metrology. This thesis focuses on an application to metrology. In this application, photometric models of a photo studio are needed to perform realistic scene reconstruction and image synthesis. Pose tracking of a dedicated sensor enables creation of these photometric models. The demands on the tracking system used in this application is high. It must be able to provide sub-centimeter and sub-degree accuracy and at same time be easy to move and install in new photo studios.The focus of this thesis is to investigate and develop methods for a pose tracking system that satisfies the requirements of the intended metrology application. The Bayesian filtering framework is suggested because of its firm theoretical foundation in informatics and because it enables straightforward fusion of measurements from several sensors. Sensor fusion is in this thesis seen as a way to exploit complementary characteristics of different sensors to increase tracking accuracy and robustness. Four different types of measurements are considered; inertialmeasurements, images from a camera, range (time-of-flight) measurements from ultra wide band (uwb) radio signals, and range and velocity measurements from echoes of transmitted acoustic signals.A simulation study and a study of the Cramér-Rao lower filtering bound (crlb) show that an inertial-camera system has the potential to reach the required tracking accuracy. It is however assumed that known fiducial markers, that can be detected and recognized in images, are deployed in the environment. The study shows that many markers are required. This makes the solution more of a stationary solution and the mobility requirement is not fulfilled. A simultaneous localization and mapping (slam) solution, where naturally occurring features are used instead of known markers, are suggested solve this problem. Evaluation using real data shows that the provided inertial-camera slam filter suffers from drift but that support from uwb range measurements eliminates this drift. The slam solution is then only dependent on knowing the position of very few stationary uwb transmitters compared to a large number of known fiducial markers. As a last step, to increase the accuracy of the slam filter, it is investigated if and how range measurements can be complemented with velocity measurement obtained as a resu...

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Section: Ultra Wide Bandmentioning

confidence: 99%

On Pose Estimation in Room-Scaled Environments

Nyqvist¹

2016

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“…Therefore, it is possible to flexibly cope with environmental change. However, sometimes the intersection of triangulation positioning is not exists because of the characteristic of wireless signal, and the error of estimated position is generated [1].…”

Section: Introductionmentioning

confidence: 99%

“…To solve this problem, the various method is applied for indoor positioning such as Wi-Fi, Ultra-wideband, Bluetooth, Inertial Measurement Unit, and RFID [1][2][3][4][5][6]. The Wi-Fi is most preferred method because there are many AP in indoor for communication.…”

Section: Introductionmentioning

confidence: 99%

A Novel RSS-Ratio Position Estimation Scheme for Wi-Fi Networks

Kim¹,

Kim²

2015

Proceedings of the 2015 International Conference on Electrical, Electronics and Mechatronics

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Abstract-the importance of location based service has been addressed frequently in various fields and the interest about core technique of various positioning scheme for indoor has been increased. The positioning scheme based on Wi-Fi is widely used because the infrastructure is already set up in many indoor spaces. The fingerprinting and the lateration schemes are typical techniques for Wi-Fi based positioning. However, these schemes have some problems for actual execution, such as hard-works for building data base and the time-varying characteristics of wireless signal. In this paper, a novel received signal strength (RSS)-ratio based positioning is proposed to mitigate the problems of conventional schemes. The performance of proposed scheme is evaluated in normal office environment according to various number of selection APs. According to the experiment results, the positioning error of proposed scheme is reduced about 82% than that of conventional RSS lateration scheme.

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“…Although literature survey on localization techniques are available in [8,[43][44][45][46][47][48], only a few papers exist that focus on range free localization techniques [49] without focusing on recent advanced techniques and applications. Thus, the survey in [45] is outdated, whereas [43] focuses only on ultrasonic positioning systems.…”

Section: Introductionmentioning

confidence: 99%

“…The work in [8] describes relatively recent localization techniques but focuses only on the indoor localization techniques and briefly discusses about range free localization. The works of [46,47] review different technologies, such as Wireless Local Area Network (WLAN), used for indoor positioning. However, they do not discuss positioning neither from the perspective of energy efficiency nor from the requirement in recent applications, such as ambient assisted and health living applications.…”

Section: Introductionmentioning

confidence: 99%

Localization in Wireless Sensor Networks: A Survey on Algorithms, Measurement Techniques, Applications and Challenges

Paul

Sato

2017

JSAN

181

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Abstract:Localization is an important aspect in the field of wireless sensor networks (WSNs) that has developed significant research interest among academia and research community. Wireless sensor network is formed by a large number of tiny, low energy, limited processing capability and low-cost sensors that communicate with each other in ad-hoc fashion. The task of determining physical coordinates of sensor nodes in WSNs is known as localization or positioning and is a key factor in today's communication systems to estimate the place of origin of events. As the requirement of the positioning accuracy for different applications varies, different localization methods are used in different applications and there are several challenges in some special scenarios such as forest fire detection. In this paper, we survey different measurement techniques and strategies for range based and range free localization with an emphasis on the latter. Further, we discuss different localization-based applications, where the estimation of the location information is crucial. Finally, a comprehensive discussion of the challenges such as accuracy, cost, complexity, and scalability are given.

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Comparative Survey of Indoor Positioning Technologies, Techniques, and Algorithms

Cited by 137 publications

References 17 publications

On Pose Estimation in Room-Scaled Environments

On Pose Estimation in Room-Scaled Environments

A Novel RSS-Ratio Position Estimation Scheme for Wi-Fi Networks

Localization in Wireless Sensor Networks: A Survey on Algorithms, Measurement Techniques, Applications and Challenges

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