Results 11 to 20 of about 24,386 (258)
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
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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
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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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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
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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
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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
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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
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International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: Traffic signs are important to ensure smooth traffic flow without bottle necks or mishaps. Road Symbols are the pictorial representation 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.
Swati Firame +4 more
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International Journal of Advanced Research in Science, Communication and Technology, 2023 Traffic sign recognition (TSR) is one of the most important background research topics for enabling autonomous vehicle driving systems. Drivers are exposed to a variety of risks while driving as a result of the increase in the number of vehicles on the road, which may result in accidents.
null Nikhil Kumar +2 more
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AUTOMATIC TRAFFIC SIGN DETECTION AND RECOGNITION USING MOBILE LIDAR DATA WITH DIGITAL IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 This paper presents a traffic sign detection and recognition method from mobile LiDAR data and digital images for intelligent transportation-related applications. The traffic sign detection and recognition method includes two steps: traffic sign interest
H. Guan, Y. Yu, D. Li, J. Li
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