Overview of the application of environmental perception technology for autonomous driving: sensors, fusion and challenges

Shengtong Zhu

doi:10.54254/2977-3903/2025.27519

Advances in Engineering InnovationOpen access

Overview of the application of environmental perception technology for autonomous driving: sensors, fusion and challenges

Research Article

Open Access

Overview of the application of environmental perception technology for autonomous driving: sensors, fusion and challenges

Shengtong Zhu ^1*

¹ University of Science and Technology

^*Corresponding author: 1302859356@qq.com

Published on 29 September 2025

AEI Vol.16 Issue 9

ISSN (Print): 2977-3911

ISSN (Online): 2977-3903

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Abstract

In today's rapidly developing field of science and technology, autonomous driving technology—a pivotal development direction in the intelligent transportation sector—is profoundly transforming traditional travel modes. As the "eye" of autonomous driving, environmental perception provides a basis for its decision-making and is a part of the autonomous driving process that cannot be ignored. Breakthroughs and developments in the field of sensors have also driven the progress of environmental perception technology. This paper will start from the definition and principle of autonomous driving environmental perception technology, study the advantages and disadvantages of sensors such as cameras and millimeter-wave radar, and point out that environmental perception technology is vulnerable to complex environments and extreme weather, and the perception system is vulnerable to network attacks. In the future, the development of environmental perception technology should focus on mitigating the impact of environment and weather, and enhance the ability of the perception system to resist cyber attacks.

Keywords:

autonomous driving, environmental perception, applications, sensors, development

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References

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References

[2]. Zhang Die, & Liu Jiao. (2024). A Review of Perception Technologies for Autonomous Driving.Science & Technology Horizon, 14(18), 3-7.

[3]. Diewald Axel, Antes Theresa, Nuß Benjamin, et al. (2021).Implementation of Range Doppler Migration Synthesis for Radar Target Simulation[J]. 1-5. doi: 10.1109/vtc2021-spring51267.2021.9448793.

[4]. Zhu Xiaobo, Tan Xingwen. (2024). Autonomous Vehicle Environmental Perception and Sensor Fusion Technology.

[6]. Nabati Ramin, Qi Hairong. (2021). CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection [J], 1526-1535.

Cite this article

Zhu,S. (2025). Overview of the application of environmental perception technology for autonomous driving: sensors, fusion and challenges. Advances in Engineering Innovation,16(9),69-73.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Journal: Advances in Engineering Innovation

Volume number: Vol.16

Issue number: Issue 9

ISSN: 2977-3903(Print) / 2977-3911(Online)

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