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Road Blind‐Spot Detection and Obstacle Avoidance in Autonomous Electric Vehicles Based on Environmental Perception Technology
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Road Blind‐Spot Detection and Obstacle Avoidance in Autonomous Electric Vehicles Based on Environmental Perception Technology
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Journal Article
Road Blind‐Spot Detection and Obstacle Avoidance in Autonomous Electric Vehicles Based on Environmental Perception Technology
2025
Overview
ABSTRACT
This paper briefly introduces the blind spot detection and obstacle avoidance algorithm for autonomous electric vehicles that utilize laser radar and an onboard camera. Simulation experiments were conducted. During the experiments, the You Only Look Once version 5 (YOLOv5) model was tested for its ability to identify obstacles in road images captured by the onboard camera. Next, the effectiveness of the onboard camera combined with laser radar in accurately locating obstacles was assessed. Finally, the obstacle avoidance capability of the autonomous electric vehicle was tested. The results showed that the YOLOv5 model accurately located and identified obstacles in the image. The combination of the onboard camera and laser radar accurately determined the coordinates of obstacles. Moreover, the autonomous electric vehicle based on the onboard camera and laser radar successfully avoided obstacles and reached its destination without being affected by low‐light environments.
The focus of this paper is to combine two road information acquisition methods, namely laser radar and onboard cameras, use the You Only Look Once version 5 (YOLOv5) model to identify road obstacles in the camera images, integrate the laser radar point cloud data to determine the real coordinates of the obstacles, and employ the artificial potential field method to plan the path. Subsequently, simulation experiments were carried out. The experimental results showed that the YOLOv5 model could accurately locate and identify obstacles in the images; the combination of onboard cameras and laser radar could accurately locate the real coordinates of obstacles; and the autonomous electric vehicles based on the camera and laser radar could effectively avoid obstacles and reach the destination.
Publisher
John Wiley & Sons, Inc,Wiley
Subject
