Paper
8 November 2024 Research on the application of deep learning in autonomous vehicle
Qiyan Yan, Zhoulin Chang, Xia Liu
Author Affiliations +
Proceedings Volume 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024); 134163K (2024) https://doi.org/10.1117/12.3049797
Event: 2024 4th International Conference on Advanced Algorithms and Neural Networks, 2024, Qingdao, China
Abstract
The rapid development of artificial intelligence and new generation information technology is driving the intelligence and networking of automotive products. Currently, driven by the comprehensive development of technology and industrial exploration practices, autonomous driving of automobiles has become a research focus and hotspot in the field of automotive technology. Based on this, this paper analyzes the development and research status of key technologies of auto driving, such as environmental awareness, planning and decision-making, and control execution, and focuses on the application of in-depth learning in the planning and decision-making of autonomous vehicle, providing some reference for the planning and decision-making of autonomous vehicle.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Qiyan Yan, Zhoulin Chang, and Xia Liu "Research on the application of deep learning in autonomous vehicle", Proc. SPIE 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024), 134163K (8 November 2024); https://doi.org/10.1117/12.3049797
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KEYWORDS
Autonomous driving

Deep learning

Decision making

Autonomous vehicles

Unmanned vehicles

Environmental sensing

Data modeling

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