Abstract
Vehicule localization and mobility tracking are important tasks in intelligent transportation systems (ITS). In this paper, we develop a multi-sensor multi-vehicle localization and mobility tracking algorithm for vehicles equipped with GPS, IMU, and an integrated sensing system including camera, LiDAR and radar. The algorithm combines the information from a vehicle's own local sensing and from other vehicles' observations on it to enhance the accuracy and reliability of the localization and mobility tracking. Simulation results demonstrate that the cooperation among vehicles can significantly improve localization and mobility tracking accuracy.
Original language | English (US) |
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Title of host publication | 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1223-1227 |
Number of pages | 5 |
ISBN (Electronic) | 9781728112954 |
DOIs | |
State | Published - Jul 2 2018 |
Externally published | Yes |
Event | 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Anaheim, United States Duration: Nov 26 2018 → Nov 29 2018 |
Publication series
Name | 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings |
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Conference
Conference | 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 |
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Country/Territory | United States |
City | Anaheim |
Period | 11/26/18 → 11/29/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- Data fusion
- Intelligent transportation systems
- Mobility tracking
- Multi-sensor multi-vehicle localization and mobility tracking