Traffic Light Recognition in Autonomous Driving: Comparison of YOLOv7 and CenterNet2 with HSV Post-Processing
Author:
Affiliation:
1. Inha University,Department of Electrical and Computer Engineering,Incheon,Korea
2. Inha University,Department of Smart Mobility Engineering,Incheon,Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10316683/10316739/10317045.pdf?arnumber=10317045
Reference18 articles.
1. Leveraging Smartphone Cameras for Collaborative Road Advisories
2. Night-time traffic light detection based on svm with geometric moment features;kim;Ternational Journal of Information and Communication Engineering,2013
3. Smart Technologies for Vehicle Safety and Driver Assistance
4. Fast R-CNN
5. Traffic light recognition with HUV-histogram from daytime driving-view images
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