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
doaj +3 more sources
YOLO-BS: a traffic sign detection algorithm based on YOLOv8. [PDF]
Sci RepTraffic signs are pivotal components of traffic management, ensuring the regulation and safety of road traffic. However, existing detection methods often suffer from low accuracy and poor real-time performance in dynamic road environments.
Zhang H, Liang M, Wang Y.
europepmc +2 more sources
Traffic sign detection method based on improved YOLOv8. [PDF]
Sci RepTraffic sign detection is crucial in intelligent transportation and assisted driving, providing favourable support for driving safety and prevention of traffic accidents.
Wang G, Jin P, Qi Z, Li X.
europepmc +2 more sources
Improved YOLOv5-based for small traffic sign detection under complex weather. [PDF]
Sci Rep, 2023 Traffic sign detection is a challenging task for unmanned driving systems. In the traffic sign detection process, the object size and weather conditions vary widely, which will have a certain impact on the detection accuracy.
Qu S, Yang X, Zhou H, Xie Y.
europepmc +2 more sources
TRD-YOLO: A Real-Time, High-Performance Small Traffic Sign Detection Algorithm. [PDF]
Sensors (Basel), 2023 Traffic sign detection is an important part of environment-aware technology and has great potential in the field of intelligent transportation. In recent years, deep learning has been widely used in the field of traffic sign detection, achieving ...
Chu J, Zhang C, Yan M, Zhang H, Ge T.
europepmc +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
Road traffic sign detection and classification [PDF]
IEEE Transactions on Industrial Electronics, 1997 A vision-based vehicle guidance system for road vehicles can have three main roles: (1) road detection; (2) obstacle detection; and (3) sign recognition.
Armingol Moreno, José María +3 more
core +5 more sources
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
doaj +2 more sources
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
doaj +2 more sources