A Real-Time Chinese Traffic Sign Detection Algorithm Based on Modified YOLOv2
Algorithms, 2017 Traffic sign detection is an important task in traffic sign recognition systems. Chinese traffic signs have their unique features compared with traffic signs of other countries.
Jianming Zhang +3 more
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A Cascaded R-CNN With Multiscale Attention and Imbalanced Samples for Traffic Sign Detection
IEEE Access, 2020 In recent years, the deep learning is applied to the field of traffic sign detection methods which achieves excellent performance. However, there are two main challenges in traffic sign detection to be solve urgently. For one thing, some traffic signs of
Jianming Zhang +4 more
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EDGE DETECTION TECHNIQUE BASED ON BILATERAL FILTERING AND ITERATIVE THRESHOLD SELECTION ALGORITHM AND TRANSFER LEARNING FOR TRAFFIC SIGN RECOGNITION [PDF]
Scientific Journal of Silesian University of Technology. Series Transport, 2023 The traffic sign identification and recognition system (TSIRS) is an essential component for autonomous vehicles to succeed. The TSIRS helps to collect and provide helpful information for autonomous driving systems.
Milind PARSE, Dhanya PRAMOD
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Integrated Feature Pyramid Network With Feature Aggregation for Traffic Sign Detection
IEEE Access, 2021 Traffic sign detection is a critical task in the visual system of the Advanced Driver Assistance System (ADAS) and the Automated Driving System (ADS). Although the general object detection has achieved promising results by using Feature Pyramid Network ...
Qing Tang, Ge Cao, Kang-Hyun Jo
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Traffic Sign Detection and Recognition Using Novel Center-Point Estimation and Local Features
IEEE Access, 2020 Traffic sign detection is one of the critical technologies in the field of intelligent transportation systems (ITS). The difficulty of traffic sign detection mainly lies in detecting small objects in a wide and complex traffic scene quickly and ...
Lijing Wei +3 more
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UCN-YOLOv5: Traffic Sign Object Detection Algorithm Based on Deep Learning
IEEE Access, 2023 Traffic sign detection plays an important role in traffic safety and traffic management. In view of the complex and changeable environment and detection accuracy of traffic sign detection, this paper proposes UCN-YOLOv5 model based on the framework of ...
Peilin Liu, Zhaoyang Xie, Taijun Li
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Fast Traffic Sign Recognition with a Rotation Invariant Binary Pattern Based Feature
Sensors, 2015 Robust and fast traffic sign recognition is very important but difficult for safe driving assistance systems. This study addresses fast and robust traffic sign recognition to enhance driving safety. The proposed method includes three stages.
Shouyi Yin +4 more
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Traffic Sign Detection via Improved Sparse R-CNN for Autonomous Vehicles
Journal of Advanced Transportation, 2022 Traffic sign detection is an important component of autonomous vehicles. There is still a mismatch problem between the existing detection algorithm and its practical application in real traffic scenes, which is mainly due to the detection accuracy and ...
Tianjiao Liang +3 more
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TSR-YOLO: A Chinese Traffic Sign Recognition Algorithm for Intelligent Vehicles in Complex Scenes
Sensors, 2023 Recognizing traffic signs is an essential component of intelligent driving systems’ environment perception technology. In real-world applications, traffic sign recognition is easily influenced by variables such as light intensity, extreme weather, and ...
Weizhen Song, Shahrel Azmin Suandi
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Multi-Feature Fusion and Enhancement Single Shot Detector for Traffic Sign Recognition
IEEE Access, 2020 Road traffic sign detection and recognition play an important role in advanced driver assistance systems (ADAS) by providing real-time road sign perception information.
Yanmei Jin +5 more
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