Comparative Study of Lidar and Vision-based in Autonomous Driving

Donglin Liu

doi:10.6919/ICJE.202508_11(8).0009

Authors

Donglin Liu

DOI:

https://doi.org/10.6919/ICJE.202508_11(8).0009

Keywords:

Autonomous Driving; Lidar; Camera; Perception.

Abstract

As vehicle automation advances, autonomous vehicles have emerged as a prominent area of research. The core technologies driving these vehicles are perception, decision-making, and control. Central to the hardware framework of autonomous vehicles is the environmental perception system, which transforms real-world data into digital signals. Currently, two primary approaches dominate this field: camera-based systems, which rely heavily on computer vision, and LiDAR-based systems. This paper evaluates and compares these two approaches, and finally concludes that integrating multiple sensors through fusion is the most promising development direction for future autonomous driving.

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