Research on unmanned multi-sensor cooperative control

Xinzhen Long; Hanmei Liang; Xingzhi Lin

doi:10.1117/12.3029298

6 May 2024 Research on unmanned multi-sensor cooperative control

Xinzhen Long, Hanmei Liang, Xingzhi Lin

Proceedings Volume 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024); 131070G (2024) https://doi.org/10.1117/12.3029298
Event: Fourth International Conference on Sensors and Information Technology (ICSI 2024), 2024, Xiamen, China

Abstract

Aiming at the problem of unmanned multi-sensor cooperative control technology, in-depth research is carried out in terms of multi-sensor fusion method based on Extended Kalman Filter (EKF), optimal path planning method of A* algorithm, and decision making control strategy, which successfully realizes the vehicle environment sensing, intelligent path selection, and safe decision making execution through the use of advanced sensor fusion, optimal path planning, and intelligent decision making technology methods. The feasibility of the proposed multi-sensor cooperative control technology method is verified in simulation experimental platform, simulation scenario and actual road test, and the experimental results show that the method is effective.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xinzhen Long, Hanmei Liang, and Xingzhi Lin "Research on unmanned multi-sensor cooperative control", Proc. SPIE 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024), 131070G (6 May 2024); https://doi.org/10.1117/12.3029298

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