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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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A Real-Time Chinese Traffic Sign Detection Algorithm Based on Modified YOLOv2
Algorithms, 2017 Traffic sign detection is an important task in traffic sign recognition systems. Chinese traffic signs have their unique features compared with traffic signs of other countries.
Jianming Zhang +3 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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Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods [PDF]
, 2018 This paper presents a Deep Learning approach for traffic sign recognition systems. Several classification experiments are conducted over publicly available traffic sign datasets from Germany and Belgium using a Deep Neural Network which comprises ...
Arcos García, Álvaro +2 more
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An optimization approach for localization refinement of candidate traffic signs [PDF]
, 2017 We propose a localisation refinement approach for candidate traffic signs. Previous traffic sign localisation approaches which place a bounding rectangle around the sign do not always give a compact bounding box, making the subsequent classification ...
Hu, Shimin +3 more
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Proactive Evaluation of Traffic Signs Using a Traffic Sign Simulator
European Journal of Transport and Infrastructure Research, 2015 Traffic signs and pavement markings are a crucial aspect of road design since they are essential sources of information for road users to calibrate their driving behavior, evaluate route possibilities and cope with unexpected events. A proactive evaluation of (the quality of) these road design elements will help to improve the safety performance of the
DE CEUNYNCK, Tim +7 more
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Two algorithms for detection of mutually occluding traffic signs [PDF]
, 2012 The robust identification of the traffic signs represents the first and one of the most important steps in the development of a traffic sign recognition (TSR) system.
Bui, Thanh +4 more
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Fast recognition algorithm for static traffic sign information
Open Physics, 2018 Aiming at the low recognition rate, low recognition efficiency, poor anti-interference and high missing detection rate of current traffic sign recognition methods, a fast recognition algorithm based on SURF for static traffic sign information of highway ...
Guo Shaocui, Yang Xu
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Analysis of factors temporarily impacting traffic sign readability
International Journal of Transportation Science and Technology, 2016 Traffic sign readability can be affected by the existence of dirt on traffic sign faces. However, among damaged signs, dirty traffic signs are unique since their damage is not permanent and they just can be cleaned instead of replaced.
Majid Khalilikhah, Kevin Heaslip
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