Automotive
Journal Article

Cross-Scene Traffic Target Detection and Recognition Based on Improver YOLOv5s

SAE International Journal of Connected and Automated Vehicles

12-09-01-0003

04/24/2025

Authors
Qianjia Ning Shanghai University of Engineering Science, China
Huanhuan Zhang Shanghai University of Engineering Science, China
Kehan Cheng Shanghai University of Engineering Science, China
Abstract
Content
No Abstract available
Meta Tags
Topics
Mathematical models
Traffic management
Automated driving systems
Affiliated or Co-Author
Shanghai University of Engineering Science, China
Details
Pages
10
Citation
Ning, Q., Zhang, H., and Cheng, K., "Cross-Scene Traffic Target Detection and Recognition Based on Improver YOLOv5s," SAE Int. J. CAV 9(1):1-10, 2026, .
Additional Details
Publisher
SAE International
Published
Apr 24
Product Code
12-09-01-0003
Content Type
Journal Article
Language
English

Journal

SAE International Journal of Connected and Automated Vehicles
SAE International Journal of Connected and Automated Vehicles Image
Volume 9, Issue 1