Lightweight Traffic Sign Recognition and Detection Algorithm Based on Improved YOLOv5s

Fei Liu; Yanfen Zhong; Jiawei Qiu

doi:10.3788/LOP240672

Laser & Optoelectronics Progress, Volume. 61, Issue 24, 2412004(2024)

Lightweight Traffic Sign Recognition and Detection Algorithm Based on Improved YOLOv5s

Fei Liu¹, Yanfen Zhong^1,2,3、*, and Jiawei Qiu¹

Author Affiliations

¹School of Civil Engineering and Transportation, Nanchang Hangkong University, Nanchang 330063, Jiangxi , China

²Jiangxi Intelligent Building Engineering Research Centre, Nanchang 330063, Jiangxi , China

³Nanchang Hangkong University Intelligent Construction Research Centre, Nanchang 330063, Jiangxi , China

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Fei Liu, Yanfen Zhong, Jiawei Qiu. Lightweight Traffic Sign Recognition and Detection Algorithm Based on Improved YOLOv5s[J]. Laser & Optoelectronics Progress, 2024, 61(24): 2412004

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Paper Information

Category: Instrumentation, Measurement and Metrology

Received: Feb. 5, 2024

Accepted: Apr. 30, 2024

Published Online: Dec. 13, 2024

The Author Email: Yanfen Zhong (70016@nchu.edu.cn)

DOI:10.3788/LOP240672

CSTR:32186.14.LOP240672

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology