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Applications of Artificial Intelligence on Autonomous Driving
- 1 School of Mathematics and Statistics, McMaster University, Hamilton, Canada
* Author to whom correspondence should be addressed.
Abstract
Artificial intelligence (AI) technology has rapidly developed in recent years and has gradually permeated various aspects of everyday life. The integration of AI with driving technology has given rise to autonomous driving, a technology that is expected to profoundly impact human transportation, efficiency, and quality of life. This paper provides a detailed exploration of the specific applications of AI in the field of autonomous driving and its future development prospects, analyzing the advantages and challenges of these technologies. It also briefly introduces practical application scenarios such as autonomous taxis, intelligent traffic management systems, and long-distance freight transportation, discussing the potential impacts of these technologies on society and the environment. Finally, the paper looks ahead to the profound changes that may result from the combination of autonomous driving technology with other cutting-edge technologies, such as 5G and the Internet of Things (IoT), in shaping future transportation systems.
Keywords
Autonomous driving, human-vehicle interaction, computer vision systems.
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Cite this article
Guan,C. (2024). Applications of Artificial Intelligence on Autonomous Driving. Applied and Computational Engineering,109,31-37.
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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