Agis, P;
Wong, KK;
Zheng, Z;
Zhang, Y;
(2016)
Cooperative localisation with hybrid inertial navigation system/pedestrian dead reckoning tracking for GPS-denied environments.
In: Ossowski, S, (ed.)
SAC '16: Proceedings of the 31st Annual ACM Symposium on Applied Computing.
(pp. pp. 675-681).
Association for Computing Machinery (ACM): New York.
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Abstract
In this paper, we develop a novel probabilistic hybrid inertial navigation system (INS)/pedestrian dead reckoning (PDR) measurement tracking algorithm, namely (PHIMTA), that provides high accuracy tracking in slow pedestrian scenarios. We then combine it with the latest localisation algorithms, such as grid-based belief propagation (GBP) and stop-and-go (SnG), that allow for improved accuracy in GPS-denied environments.
| Type: | Proceedings paper |
|---|---|
| Title: | Cooperative localisation with hybrid inertial navigation system/pedestrian dead reckoning tracking for GPS-denied environments |
| Event: | SAC 2016: Symposium on Applied Computing, Pisa, Italy, 4 - 8 April 2016 |
| ISBN-13: | 9781450337397 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/2851613.2851850 |
| Publisher version: | http://dx.doi.org/10.1145/2851613.2851850 |
| Language: | English |
| Additional information: | Copyright © 2016 Association for Computing Machinery (ACM) |
| Keywords: | ACM proceedings; Cooperative localization; Mobility; INS |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1503690 |
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