Results 11 to 20 of about 530,497 (220)
Recent Advances in Traffic Sign Recognition: Approaches and Datasets [PDF]
Sensors, 2023 Autonomous vehicles have become a topic of interest in recent times due to the rapid advancement of automobile and computer vision technology. The ability of autonomous vehicles to drive safely and efficiently relies heavily on their ability to ...
Xin Roy Lim +5 more
doaj +2 more sources
A lightweight network for traffic sign recognition based on multi-scale feature and attention mechanism [PDF]
HeliyonTraffic sign recognition is an important part of intelligent transportation system. It uses computer vision and traffic sign recognition technology to detect and recognize traffic signs on the road automatically.
Wei Wei +9 more
doaj +2 more sources
Detection and Recognition of Obscured Traffic Signs During Vehicle Movement
IEEE Access, 2023 The present study proposes an algorithm to extract obscured traffic sign information from road driving images and fuse it with the vehicle movement process by integrating the vehicle speed.
Shi Luo, Chenghang Wu, Lingen Li
doaj +1 more source
International Journal of Advanced Research in Science, Communication and Technology, 2022 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
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
doaj +1 more source
Learning Region-Based Attention Network for Traffic Sign Recognition
Sensors, 2021 Traffic sign recognition in poor environments has always been a challenge in self-driving. Although a few works have achieved good results in the field of traffic sign recognition, there is currently a lack of traffic sign benchmarks containing many ...
Ke Zhou, Yufei Zhan, Dongmei Fu
doaj +1 more source
Enhanced Traffic Sign Recognition with Ensemble Learning
Journal of Sensor and Actuator Networks, 2023 With the growing trend in autonomous vehicles, accurate recognition of traffic signs has become crucial. This research focuses on the use of convolutional neural networks for traffic sign classification, specifically utilizing pre-trained models of ...
Xin Roy Lim +3 more
doaj +1 more source
Small Traffic Sign Detection in Big Images: Searching Needle in a Hay
IEEE Access, 2022 Traffic sign detection is an essential module of self-driving cars and driver assistance system. The major challenge being, traffic sign appear relatively smaller in road view images. It covers only 1%-2% of the total image area. Hence, its
Yawar Rehman +3 more
doaj +1 more source
Predicting Traffic Sign Retro-Reflectivity Degradation Using Deep Neural Networks
Applied Sciences, 2021 Traffic signs are essential for the safe and efficient movement of vehicles through the transportation network. Poor sign visibility can lead to accidents.
Abdolmaged Alkhulaifi +2 more
doaj +1 more source
Traffic sign detection for U.S. roads:Remaining challenges and a case for tracking [PDF]
, 2014 — Traffic sign detection is crucial in intelligent vehi-cles, no matter if one’s objective is to develop Advanced Driver Assistance Systems or autonomous cars.
Liu, Dongran +2 more
core +3 more sources