期刊论文

Wang, Jin

英文

IEEE ACCESS

2169-3536

2020

8

29742-29754

10.1109/ACCESS.2020.2972338

This work was supported in part by the National Natural Science Foundation of China under Grant 61972056 and Grant 61772454, in part by the Natural Science Foundation of Hunan Province of China under Grant 2019JJ50666, in part by the Double First-Class International Cooperation and Development Scientific Research Project of Changsha University of Science and Technology under Grant 2019IC34, in part by the Postgraduate Training Innovation Base Construction Project of Hunan Province under Grant 2019-248-51, and in part by the Practical Innovation and Entrepreneurship Ability Improvement Plan for Professional Degree Postgraduate of Changsha University of Science and Technology under Grant SJCX201972.

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In recent years, the deep learning is applied to the field of traffic sign detection methods which achieves excellent performance. However, there are two main challenges in traffic sign detection to be solve urgently. For one thing, some traffic signs of small size are more difficult to detect than those of large size so that the small traffic signs are undetected. For another, some false signs are always detected because of interferences caused by the illumination variation, bad weather and some signs similar to the true traffic signs. Therefo...