Optimal Multi-Sensor Multi-Vehicle (MSMV) localization and mobility tracking

Pengtao Yang; Dongliang Duan; Chen Chen; Xiang Cheng; Liuqing Yang

doi:10.1109/GlobalSIP.2018.8646626

Optimal Multi-Sensor Multi-Vehicle (MSMV) localization and mobility tracking

Pengtao Yang, Dongliang Duan, Chen Chen, Xiang Cheng, Liuqing Yang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

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)
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	https://doi.org/10.1109/GlobalSIP.2018.8646626
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

Conference

Conference	2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018
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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/GlobalSIP.2018.8646626

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Yang, P., Duan, D., Chen, C., Cheng, X., & Yang, L. (2018). Optimal Multi-Sensor Multi-Vehicle (MSMV) localization and mobility tracking. In 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings (pp. 1223-1227). Article 8646626 (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP.2018.8646626

Optimal Multi-Sensor Multi-Vehicle (MSMV) localization and mobility tracking. / Yang, Pengtao; Duan, Dongliang; Chen, Chen et al.
2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1223-1227 8646626 (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yang, P, Duan, D, Chen, C, Cheng, X & Yang, L 2018, Optimal Multi-Sensor Multi-Vehicle (MSMV) localization and mobility tracking. in 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings., 8646626, 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1223-1227, 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018, Anaheim, United States, 11/26/18. https://doi.org/10.1109/GlobalSIP.2018.8646626

Yang P, Duan D, Chen C, Cheng X, Yang L. Optimal Multi-Sensor Multi-Vehicle (MSMV) localization and mobility tracking. In 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1223-1227. 8646626. (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings). doi: 10.1109/GlobalSIP.2018.8646626

Yang, Pengtao ; Duan, Dongliang ; Chen, Chen et al. / Optimal Multi-Sensor Multi-Vehicle (MSMV) localization and mobility tracking. 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1223-1227 (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings).

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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.",

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Optimal Multi-Sensor Multi-Vehicle (MSMV) localization and mobility tracking

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access

OpenUrl availability

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Cite this