A highly efficient vehicle taillight detection approach based on deep learning

• Main Authors: Li, Qiaohong, Garg, Sahil, Nie, Jiangtian, Li, Xiang, Liu, Ryan Wen, Cao, Zhiguang, Hossain, M. Shamim
• Other Authors: Interdisciplinary Graduate School (IGS)
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Object Detection; Taillight Recognition
• Online Access: https://hdl.handle.net/10356/160345
• Institution: Nanyang Technological University

Vehicle taillight detection is essential to analyze and predict driver intention in collision avoidance systems. In this article, we propose an end-to-end framework that locates the rear brake and turn signals from video stream in real-time. The system adopts the fast YOLOv3-tiny as the backbone mod...