Results 11 to 20 of about 302,063 (326)
Sign-YOLO: Traffic Sign Detection Using Attention-Based YOLOv7
Traffic sign detection (TSD) is crucial for real-world applications like driverless vehicles, intelligent driver-assistance systems, and traffic management. Recent advancements in TSD have demonstrated promising outcomes.
Ruturaj Mahadshetti +2 more
doaj +2 more sources
A lightweight network for traffic sign detection via multiple scale context awareness and semantic information guidance [PDF]
Traffic 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
doaj +2 more sources
Real-Time Traffic Sign Detection and Recognition Method Based on Simplified Gabor Wavelets and CNNs [PDF]
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
doaj +2 more sources
Real-Time Traffic Sign Detection Algorithm Combining Attention Mechanism and Contextual Information [PDF]
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
doaj +1 more source
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
doaj +1 more source
Road signs are important to ensure smooth traffic flow without bottlenecks or mishaps. Road symbols are the pictorial representations having different necessary information required to be understood by driver. Road signs in front of the vehicle are ignored by the drivers and this can lead to catastrophic accidents.
null Prof. S. P. Bholane +4 more
openaire +1 more source
Traffic Sign Detection and Recognition
Street traffic signs give directions, cautioning data, to control driver conduct. Also, these signs give a dependable assurance to protected and helpful driving. The Traffic Sign Detection and Recognition (TSDR) framework is one of the essential applications for Advanced Driver Assistance Systems (ADAS).
Preeti S. Pillai +3 more
openaire +2 more sources
Improved Traffic Sign Detection Algorithm Based on Faster R-CNN
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
doaj +1 more source
Hierarchical Novelty Detection for Traffic Sign Recognition
Recent works have made significant progress in novelty detection, i.e., the problem of detecting samples of novel classes, never seen during training, while classifying those that belong to known classes. However, the only information this task provides about novel samples is that they are unknown.
Idoia Ruiz, Joan Serrat
openaire +4 more sources
TRAFFIC SIGN DETECTION BASED ON BIOLOGICALLY VISUAL MECHANISM [PDF]
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
doaj +1 more source

