A multi-visual information synthesis function model-based technique is being looked at for autonomous vehicle detection and monitoring

Zixian Zhang

doi:10.1117/12.3009255

27 October 2023 A multi-visual information synthesis function model-based technique is being looked at for autonomous vehicle detection and monitoring

Zixian Zhang

Author Affiliations +

Proceedings Volume 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023); 129220P (2023) https://doi.org/10.1117/12.3009255
Event: The Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 2023, Xiamen, China

Abstract

With the development of autonomous driving technology, intelligent vehicle detection and tracking has become a key research field. The traditional method based on a single visual sensor faces challenges in complex scenes. Therefore, the method of multi-visual information fusion has become an important way to improve the performance of detection and tracking. This research aims to explore an intelligent vehicle detection and tracking method based on multi-visual information fusion function model. First, we propose a multi-visual information fusion functional model and combine them through a feature fusion module. In this way, we can comprehensively utilize the advantages of multiple vision sensors to improve the accuracy and robustness of detection and tracking. Extensive experimental evaluations are then performed on real datasets. The final experimental results show that the intelligent vehicle detection and tracking method based on the multi-visual information fusion function model has higher accuracy and robustness than the traditional method. By comprehensively utilizing information from multiple vision sensors, we can better deal with complex scenarios and challenges, and provide more reliable perception capabilities for autonomous driving systems. The results of this research are of great significance for promoting the development of intelligent vehicle detection and tracking technology, and also provide reference and reference for multi-sensor information fusion methods in other fields.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zixian Zhang "A multi-visual information synthesis function model-based technique is being looked at for autonomous vehicle detection and monitoring", Proc. SPIE 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 129220P (27 October 2023); https://doi.org/10.1117/12.3009255

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KEYWORDS

Sensors

Information fusion

Unmanned vehicles

Autonomous vehicles

Autonomous driving

Detection and tracking algorithms

Data modeling

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