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This paper proposed a novel method for automatic detection of traffic sign. There are three main stages in the proposed algorithm.
Experimental results show a high success rate and demonstrate that the proposed framework is invariant to illumination, deformation, and partial occlusions.
Experimental results show a high success rate and demonstrate that the proposed framework is invariant to illumination, deformation, and partial occlusions.
Abstract. Considering the requirement of high accuracy and robustness for traffic sign detection in real-world environments, this paper proposed a novel.
In this paper a robust method for detecting and recognizing road signs by vision is presented. The detection step is based on a geometrical analysis of the ...
This paper describes a method for detecting and recognizing road signs in grey-level and colour images acquired by a single camera mounted on a moving vehicle.
Missing: Novel | Show results with:Novel
Dec 25, 2023 · This paper presents a recommendation system to address this challenge by leveraging a specific Convolutional Neural Network (CNN) algorithm tailored for the ...
Missing: Automatic | Show results with:Automatic
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Jul 27, 2024 · This paper proposes an automatic road-sign recognition method based on image segmentation and joint transform correlation (JTC) with the ...
A new method of rejecting non-signs is presented, which improved the recognition rate in the complex outdoor scenes, and the algorithm includes two stages: ...
Dec 2, 2015 · Extensive experiments demonstrate that our method can robustly detect traffic signs under varying weather, shadow, occlusion and complex ...