A feature cascade and recursive fusion architecture for traffic sign detection in vehicle perception [PDF]
Scientific ReportsIn driving scenarios, traffic sign detection technology frequently suffers from reduced detection accuracy of models due to practical challenges such as tiny object, scale variation, and fluctuating lighting conditions. Specifically, the representational
Xianzheng Liu +5 more
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Improved Traffic Sign Detection and Recognition Algorithm for Intelligent Vehicles [PDF]
Sensors, 2019 Traffic sign detection and recognition are crucial in the development of intelligent vehicles. An improved traffic sign detection and recognition algorithm for intelligent vehicles is proposed to address problems such as how easily affected traditional ...
Jingwei Cao +4 more
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YOLOv7-TS: A Traffic Sign Detection Model Based on Sub-Pixel Convolution and Feature Fusion [PDF]
SensorsIn recent years, significant progress has been witnessed in the field of deep learning-based object detection. As a subtask in the field of object detection, traffic sign detection has great potential for development.
Shan Zhao +4 more
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Improved Faster R-CNN Traffic Sign Detection Based on a Second Region of Interest and Highly Possible Regions Proposal Network [PDF]
Sensors, 2019 Traffic sign detection systems provide important road control information for unmanned driving systems or auxiliary driving. In this paper, the Faster region with a convolutional neural network (R-CNN) for traffic sign detection in real traffic ...
Faming Shao +5 more
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A lightweight network for traffic sign detection via multiple scale context awareness and semantic information guidance [PDF]
Scientific ReportsTraffic sign detection, as a critical branch of object detection, plays an essential role in both assisted driving and autonomous driving technologies. In this paper, we propose MASG-Net, a lightweight detection network designed to improve the accuracy ...
Chenjie Du +5 more
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Real-Time Traffic Sign Detection and Recognition Method Based on Simplified Gabor Wavelets and CNNs [PDF]
Sensors, 2018 Traffic sign detection and recognition plays an important role in expert systems, such as traffic assistance driving systems and automatic driving systems.
Faming Shao +5 more
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Real-Time Traffic Sign Detection Algorithm Combining Attention Mechanism and Contextual Information [PDF]
Jisuanji kexue yu tansuo, 2023 Traffic sign detection has received widespread concern in recent years. However, existing methods often fail to meet the real-time detection requirements, and there are many cases of missing detection in small-scale traffic sign detection. To solve these
FENG Aiqi, WU Xiaojun, XU Tianyang
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Applied Sciences, 2021 Traffic sign recognition is a key module of autonomous cars and driver assistance systems. Traffic sign detection accuracy and inference time are the two most important parameters.
Yawar Rehman +5 more
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Improved Traffic Sign Detection Algorithm Based on Faster R-CNN
Applied Sciences, 2022 The traffic sign detection algorithm based on Faster Region-Based Convolutional Neural Network (R-CNN) has been applied to various intelligent-vehicles driving scenarios.
Xiang Gao +5 more
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TRAFFIC SIGN DETECTION BASED ON BIOLOGICALLY VISUAL MECHANISM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 TSR (Traffic sign recognition) is an important problem in ITS (intelligent traffic system), which is being paid more and more attention for realizing drivers assisting system and unmanned vehicle etc. TSR consists of two steps: detection and recognition,
X. Hu, X. Zhu, D. Li
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