Results 21 to 30 of about 302,063 (326)
Traffic Sign Detection Based on Video Encoding Stream
Taiyuan Ligong Daxue xuebao, 2022 In order to improve the poor real-time performance of traffic sign detection in natural scenes, a traffic sign detection method based on video stream was proposed.
Jingjing YANG, Fujiang LI, Qigui ZHANG
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Traffic Sign Detection Based on Improved R-FCN [PDF]
Jisuanji gongcheng, 2021 To meet both the precision and speed requirements in the process of traffic sign detection, this paper proposes an improved traffic sign detection model based on improved Region-based Fully Convolutional Network(R-FCN).By analyzing the data set through ...
YU Qingting, YU Weichao, YU Guoping
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FAST DRAWING OF TRAFFIC SIGN USING MOBILE MAPPING SYSTEM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Traffic sign provides road users with the specified instruction and information to enhance traffic safety. Automatic detection of traffic sign is important for navigation, autonomous driving, transportation asset management, etc.
Q. Yao, B. Tan, Y. Huang
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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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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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Traffic Sign Detection and Classification on the Austrian Highway Traffic Sign Data Set
Data, 2023 Advanced Driver Assistance Systems rely on automated traffic sign recognition. Today, Deep Learning methods outperform other approaches in terms of accuracy and processing time; however, they require vast and well-curated data sets for training.
Alexander Maletzky +4 more
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Traffic Sign Detection Based on Saliency Map and Fourier Descriptor [PDF]
Jisuanji gongcheng, 2017 Aiming at the problems in traffic sign detection process,such as that traffic sign shows dimensional changes,rotation distortion,projection distortion or the sign is partially occluded,in this paper,a traffic sign detection algorithm based on saliency ...
YU Chaochao,HOU Jin,HOU Changzheng
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Traffic signs detection and recognition under low-illumination conditions
工程科学学报, 2020 Traffic sign detection and recognition, which are important to ensure traffic safety, have been a research hotspot. In recent years, with the rapid development of automated driving technology, significant progress has been made in developing more ...
Kun ZHAO, Li LIU, Yu MENG, Ruo-can SUN
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An Improved YOLO Model for Traffic Signs Small Target Image Detection
Applied Sciences, 2023 Traffic sign detection significantly reduces traffic accidents, but in real-world scenarios, the considerable distance between traffic signs and in-vehicle cameras means only a small proportion of traffic signs are captured in the images.
Tianxin Han, Lina Sun, Qing Dong
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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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