3D Indoor Localization using 5G-based Particle Filtering and CAD Plans

Shoushtari, Hossein; Askar, Cigdem; Harder, Dorian; Willemsen, Thomas; Sternberg, Harald

doi:10.1109/ipin51156.2021.9662636

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…The results which were obtained using sounding reference signals in a line of sight scenario demonstrate that VA is capable of providing 3D positioning with sub-meter accuracy in 5G networks without the need for numerous cells or antennas. The researchers in [ 96 ] discuss various ways of utilizing space detection to achieve more accurate and precise results for indoor localization. The designed and developed 5G simulation as well as the 5G-based particle filter fusion resulted in a reliable localization performance.…”

Section: Technologies For 3d Localizationmentioning

confidence: 99%

A Survey of 3D Indoor Localization Systems and Technologies

Sesyuk

Ioannou

Raspopoulos

2022

Sensors

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Indoor localization has recently and significantly attracted the interest of the research community mainly due to the fact that Global Navigation Satellite Systems (GNSSs) typically fail in indoor environments. In the last couple of decades, there have been several works reported in the literature that attempt to tackle the indoor localization problem. However, most of this work is focused solely on two-dimensional (2D) localization, while very few papers consider three dimensions (3D). There is also a noticeable lack of survey papers focusing on 3D indoor localization; hence, in this paper, we aim to carry out a survey and provide a detailed critical review of the current state of the art concerning 3D indoor localization including geometric approaches such as angle of arrival (AoA), time of arrival (ToA), time difference of arrival (TDoA), fingerprinting approaches based on Received Signal Strength (RSS), Channel State Information (CSI), Magnetic Field (MF) and Fine Time Measurement (FTM), as well as fusion-based and hybrid-positioning techniques. We provide a variety of technologies, with a focus on wireless technologies that may be utilized for 3D indoor localization such as WiFi, Bluetooth, UWB, mmWave, visible light and sound-based technologies. We critically analyze the advantages and disadvantages of each approach/technology in 3D localization.

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Section: Technologies For 3d Localizationmentioning

confidence: 99%

A Survey of 3D Indoor Localization Systems and Technologies

Sesyuk

Ioannou

Raspopoulos

2022

Sensors

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Performance Evaluation of E-CID based Positioning on OAI 5G-NR Testbed

Chu

Wang

et al. 2022

2022 IEEE/CIC International Conference on Communications in China (ICCC)

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Real-Time Map Matching with a Backtracking Particle Filter Using Geospatial Analysis

Harder

Shoushtari

Sternberg

2022

Sensors

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Inertial odometry is a typical localization method that is widely and easily accessible in many devices. Pedestrian positioning can benefit from this approach based on inertial measurement unit (IMU) values embedded in smartphones. Fitting the inertial odometry outputs, namely step length and step heading of a human for instance, with spatial information is an ubiquitous way to correct for the cumulative noises. This so-called map-matching process can be achieved in several ways. In this paper, a novel real-time map-matching approach was developed, using a backtracking particle filter that benefits from the implemented geospatial analysis, which reduces the complexity of spatial queries and provides flexibility in the use of different kinds of spatial constraints. The goal was to generalize the algorithm to permit the use of any kind of odometry data calculated by different sensors and approaches as the input. Further research, development, and comparisons have been done by the easy implementation of different spatial constraints and use cases due to the modular structure. Additionally, a simple map-based optimization using transition areas between floors has been developed. The developed algorithm could achieve accuracies of up to 3 m at approximately the 90th percentile for two different experiments in a complex building structure.

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3D Indoor Localization using 5G-based Particle Filtering and CAD Plans

Cited by 3 publications

References 21 publications

A Survey of 3D Indoor Localization Systems and Technologies

A Survey of 3D Indoor Localization Systems and Technologies

Performance Evaluation of E-CID based Positioning on OAI 5G-NR Testbed

Real-Time Map Matching with a Backtracking Particle Filter Using Geospatial Analysis

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