Raja, Khalil Jibran;
Groves, Paul D;
(2024)
WiFi-RTT Posterity SLAM for Pedestrian Navigation in Indoor Environments.
In:
Proceedings of the 37th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2024).
(pp. pp. 1864-1877).
Institute of Navigation: Baltimore, MD, USA.
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Abstract
WiFi has vast infrastructure presence making it an ideal candidate for mobile indoor positioning. WiFi Fine Time Measurement (FTM), is a WiFi protocol that enables the time of flight (ToF) of a WiFi signal to be determined; referred to as WiFi Round Trip Timing (RTT). This has allowed ToF based positioning algorithms to be applied to WiFi signals which could provide an improvement over the established RSSI-based positioning. A common assumption in WiFi RTT research is prior knowledge of the access point locations in an environment. The research in this paper explores the accuracy of WiFi RTT positioning in an indoor environment by utilising a FastSLAM algorithm applied to WiFi RTT that improves over time with the benefit of previous SLAM maps of the environment, this is known as Posterity SLAM. This specific version of the algorithm presents a positioning solution that has sub-two-metre accuracy for the mobile device without the need for a dedicated survey step. In some cases the final horizontal position error of the mobile device was sub-metre. The algorithm was effective at improving the accuracy of landmark estimates for shorter trials 100% of the time. For the landmark estimates, Posterity SLAM achieved sub-two-metre accuracy 78% of the time improving on regular SLAM which achieved sub-two-metre accuracy 61% of the time. The landmark position accuracy was sub-metre 42% of the time for Posterity SLAM and 28% of the time for regular SLAM.
| Type: | Proceedings paper |
|---|---|
| Title: | WiFi-RTT Posterity SLAM for Pedestrian Navigation in Indoor Environments |
| Event: | 37th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2024) |
| Location: | Baltimore, MD, USA |
| Dates: | 16th-20th September 2024 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.33012/2024.19877 |
| Publisher version: | http://dx.doi.org/10.33012/2024.19877 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher's terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10200002 |
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