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Published on 20 March 2025
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Wang,H. (2025). The Environmental Perception of LiDAR in Electric Vehicles. Applied and Computational Engineering,142,29-33.
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The Environmental Perception of LiDAR in Electric Vehicles

Hongyi Wang *,1,
  • 1 Electromechanical and Vehicle Academy, East China Jiao Tong University, Nanchang, China, Jiangxi, 330013

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/2025.KL21566

Abstract

With the popularization of the Intelligent driving, new energy vehicles have gradually replaced the traditional fuel cars. The environmental perception of light detection and ranging (LiDAR) in intelligent driving is the vital safeguard of drivers and vehicles themselves. Nowadays, LiDAR has been widely applied in the field of unmanned driving, which receives the information of surroundings through reflected Laser beam sent by its emitters. This article analyses the meanings and uses of LiDAR through the point cloud detection technology, combining with the application cases of LiDAR in electric vehicles. This paper finds that the effects of LiDAR are measuring the distance of the obstacles from the vehicles and reminding the drivers to pay attention to their driving safety. This technology has critical effects of vehicle security and driving safety. This study promotes the production and utilization of electric vehicles, helping to address the energy and environment issues and making contribution to the LiDAR technology.

Keywords

LiDAR, environmental perception, point cloud survey, electric vehicles

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Cite this article

Wang,H. (2025). The Environmental Perception of LiDAR in Electric Vehicles. Applied and Computational Engineering,142,29-33.

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 MSS 2025 Symposium: Automation and Smart Technologies in Petroleum Engineering

Conference website: https://2025.confmss.org/
ISBN:978-1-83558-999-1(Print) / 978-1-80590-000-9(Online)
Conference date: 16 June 2025
Editor:Mian Umer Shafiq
Series: Applied and Computational Engineering
Volume number: Vol.142
ISSN:2755-2721(Print) / 2755-273X(Online)

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