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Published on 8 November 2024
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Zhang,K. (2024). A Review of Current Research and Future Development of Autonomous Driving Technology. Applied and Computational Engineering,116,22-28.
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A Review of Current Research and Future Development of Autonomous Driving Technology

Kun Zhang *,1,
  • 1 Nanchang University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/116/20251745

Abstract

At present, the automobile industry is undergoing a new round of technological revolution, and autonomous driving technology is also experiencing a period of rapid development, with very active research and technology iteration. Autonomous driving can prevent accidents that occur due to human errors such as inattentiveness and driver fatigue, thereby enhancing road safety. Additionally, autonomous technology helps alleviate traffic congestion and optimize flow by utilizing coordinated driving strategies, such as vehicle-to-vehicle communication (V2V) and vehicle-to-infrastructure communication (V2I), enabling platooning, intelligent rerouting, and other advanced driving techniques. The autonomous driving system can control the vehicle according to the optimal driving strategy, can drive the vehicle in a smoother way, optimize fuel consumption or power use, thereby reducing operating costs and improving travel experience, and has a wide range of application potential and potential social value. This paper summarizes the current research status and development trend of autonomous driving technology, summarizes the current research status of autonomous driving technology from the aspects of environmental perception, machine learning, control execution, etc., while also projecting future directions for the field. Advancements in this technology have the potential to revolutionize transportation, offering significant convenience and transforming daily life. Moreover, it can promote the development of major industries, increase national GDP, affect urban planning and layout, and even improve our living environment and benefit ecological construction.

Keywords

Autonomous driving, connected vehicles, environmental perception, machine learning.

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Cite this article

Zhang,K. (2024). A Review of Current Research and Future Development of Autonomous Driving Technology. Applied and Computational Engineering,116,22-28.

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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About volume

Volume title: Proceedings of the 5th International Conference on Signal Processing and Machine Learning

Conference website: https://2025.confspml.org/
ISBN:978-1-83558-791-1(Print) / 978-1-83558-792-8(Online)
Conference date: 12 January 2025
Editor:Stavros Shiaeles
Series: Applied and Computational Engineering
Volume number: Vol.116
ISSN:2755-2721(Print) / 2755-273X(Online)

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