Research on Visual Perception of Speed Bumps for Intelligent Connected Vehicles Based on Lightweight FPNet

Research on Visual Perception of Speed Bumps for Intelligent Connected Vehicles Based on Lightweight FPNet

In the field of intelligent connected vehicles, the precise and real-time identification of speed bumps is critically important for the safety of autonomous driving. To address the issue that existing visual perception algorithms struggle to simultaneously maintain identification accuracy and real-t...

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Bibliographic Details
Main Authors: Ruochen Wang, Xiaoguo Luo, Qing Ye, Yu Jiang, Wei Liu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
intelligent connected vehicles
autonomous driving
visual perception
speed bumps
YOLOv5
deep learning
Online Access:https://www.mdpi.com/1424-8220/24/7/2130

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