Results 291 to 300 of about 302,063 (326)
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A Survey on 5G Usage Scenarios and Traffic Models
IEEE Communications Surveys and Tutorials, 2020Jorge Navarro-Ortiz +2 more
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TRAFFIC SIGN DETECTION USING DEEP LEARNING
Accurate traffic sign detection and recognition is a critical component in the development of intelligent transportation systems and autonomous vehicles. This paper presents a deep learning-based framework that combines real-time object detection and robust classification to identify and interpret traffic signs from road scene images.Ms. Akanksha Sudam Devgire +3 more
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A novel lightweight real-time traffic sign detection method based on an embedded device and YOLOv8
Journal of Real-Time Image ProcessingYuechen Luo +3 more
semanticscholar +1 more source
A real-time and lightweight traffic sign detection method based on ghost-YOLO
Multimedia tools and applications, 2023Shuo Zhang +3 more
semanticscholar +1 more source
Sign-to-speech translation using machine-learning-assisted stretchable sensor arrays
Nature Electronics, 2020Kyle Chen, Xiaoshi Li, Songlin Zhang
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YOLOF-F: you only look one-level feature fusion for traffic sign detection
The Visual Computer, 2023Hongyang Wei +4 more
semanticscholar +1 more source
Customized Traffic Sign Detection
2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)V. Meenaksi +5 more
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LLTH-YOLOv5: A Real-Time Traffic Sign Detection Algorithm for Low-Light Scenes
Automotive InnovationXiaoqiang Sun +4 more
semanticscholar +1 more source
Enhancing autonomous driving safety: A robust traffic sign detection and recognition model TSD-YOLO
Signal ProcessingRuixin Zhao +4 more
semanticscholar +1 more source