Mr. Xueming Dang Profile

Xueming Dang

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Proceedings Article | 19 November 2021 Paper

Research and design of traffic recognition system based on Hilens

Haobo Lv, Xueming Dang, Dingyi Yang, Qingxiang Zhu

Proceedings Volume 12059, 120590H (2021) https://doi.org/10.1117/12.2611639

KEYWORDS: Detection and tracking algorithms, Roads, Artificial intelligence, Hough transforms, Target detection

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Road traffic sign recognition includes two parts: traffic sign recognition and lane line recognition. Based on the Hilens deep learning platform provided by Huawei cloud, this paper simulates the whole traffic scene and realizes the function of traffic sign recognition. In the aspect of detection and recognition of landmarks and vehicles, based on yolov3, this paper uses two kinds of backbone networks, Darknet53 and Resnet18, adds interference data features, and uses soft NMS, which improves the robustness and accuracy of the algorithm. The experimental results show that the detection accuracy of traffic signs in this paper can reach 97.09%. In the aspect of lane line detection, aiming at the problem of low accuracy of Hough transform, this paper optimizes it combined with least square method to improve its recognition efficiency.

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