Deep convolutional neural network for enhancing traffic sign recognition developed on Yolo V4

• Published in: Multimedia tools and applications Vol. 81; no. 26; pp. 37821 - 37845
• Main Authors: Dewi, Christine, Chen, Rung-Ching, Jiang, Xiaoyi, Yu, Hui
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.11.2022; Springer Nature B.V
• Subjects: Advanced driver assistance systems; Artificial neural networks; Computer Communication Networks; Computer networks; Computer Science; Data Structures and Information Theory; Feature extraction; Floating point arithmetic; Intelligent transportation systems; Intelligent vehicles; Multimedia Information Systems; Neural networks; Object recognition; Special Purpose and Application-Based Systems; Traffic control; Traffic information; Traffic signs; Training; CNN; Yolo V4; Object recognition; Yolo V3; Spatial pyramid pooling

Traffic sign detection (TSD) is a key issue for smart vehicles. Traffic sign recognition (TSR) contributes beneficial information, including directions and alerts for advanced driver assistance systems (ADAS) and Cooperative Intelligent Transport Systems (CITS). Traffic signs are tough to detect in...