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Exploration and Application Analysis of Autonomous Driving Technology
- 1 North China Electric Power University
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Abstract
In recent years, with the acceleration of urbanization and the increase in vehicle ownership, traffic congestion has become an increasingly prominent issue. As vehicle technology advances, autonomous driving vehicles have gradually entered the public eye. Autonomous driving technology, seen as an important solution to the problem of traffic congestion, has garnered widespread attention and application. This paper employs a literature review and case analysis method to comprehensively explore the development history, core components, and challenges faced in the practical application of autonomous driving technology. It details the practical examples of companies such as Tesla, Google Waymo, and Baidu Apollo, fully showcasing the key role and vast potential of autonomous driving technology in intelligent transportation systems. Through a comprehensive analysis of the application of autonomous driving technology, this paper provides an in-depth introduction to its current applications, aiming to offer a more systematic knowledge framework and address the limitations of a single-perspective approach.
Keywords
autonomous driving, reinforcement learning, machine learning, radar.
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Cite this article
Wu,Z. (2024). Exploration and Application Analysis of Autonomous Driving Technology. Applied and Computational Engineering,103,205-210.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 2nd International Conference on Machine Learning and Automation
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