Temporal stability of RSSI as a pedestrian localization metric

Hurtig, Nathan; Sorber, Maren; Pados, Artemis; Hallstrom, Jason O.

doi:10.1145/3476883.3520206

Cited by 1 publication

(1 citation statement)

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“…The PDR algorithm used accelerometers and gyros to 3 Wireless Communications and Mobile Computing calculate step, stride, and heading. In comparison to the traditional localization techniques using wireless signals and vision sensors, PDR helps in calculating accurate positions in a shorter time period, and the speed updating of speed of the pedestrian's location is much faster with an additional advantage of low power consumption [39]. The data collected by the algorithm is mainly based on the data collected by a low precision sensor placed in the chest.…”

Section: Pdr Localization Algorithmmentioning

confidence: 99%

An Outdoor Pedestrian Localization Scheme Fusing PDR and VPR

Liu

Gong

Wang

et al. 2022

Wireless Communications and Mobile Computing

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With the popularity of phones, the demand for pedestrian location-based services has increased significantly. PDR (pedestrian dead reckoning algorithm) can provide pedestrians with real-time and continuous localization services in the outdoor environment. However, due to the accuracy of the built-in inertial sensor of the mobile phone collecting data, there is heading drift in PDR resulting in localization error. The localization method based on VPR (visual place recognition) can provide the accurate position of a single point. The VPR based on the lightweight model only generates a low amount of calculation. We propose an outdoor localization scheme fusing PDR and VPR to provide continuous localization service for outdoor pedestrian localization. The experiment results show that compared with the PDR algorithm, the ARMSE of the fusion localization scheme is reduced by 40% to 60%, and the final start-to-end error is reduced by 31.9 m. The fusion scheme can provide an accurate and continuous localization service.

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Section: Pdr Localization Algorithmmentioning

confidence: 99%