Applications of Artificial Intelligence on Autonomous Driving

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.

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Publication Details

Journal
Applied and Computational Engineering
Published
2024-11-26
DOI
https://doi.org/10.54254/2755-2721/109/20241349
Citations
1
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.27
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article

Applications of Artificial Intelligence on Autonomous Driving

Cuntai Guan
1 citations
Applied and Computational Engineering
Traffic Prediction and Management Techniques
0.27
article

Applications of Artificial Intelligence on Autonomous Driving

Cuntai Guan
article en
1 citations

Abstract

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.

Applied and Computational EngineeringVol. 109(1)
McMaster University (CA)
Openalex Percentile: Top 41%
Traffic Prediction and Management Techniques
0.27
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