Semiconductor Optoelectronics, Volume. 46, Issue 1, 142(2025)
Traffic Sign Recognition Algorithm under Adverse Lighting Conditions
[1] [1] Daus S, Buchwald T, Peuker A U. In-line image analysis of particulate processes with deep learning: Optimizing training data generation via copy-paste augmentation[J]. Powder Technology, 2024, 443(2): 119889.
[3] [3] Ellahyani A, Ansari M, Jaafari I. Traffic sign detection and recognition based on random forests[J]. Applied Soft Computing, 2016, 46: 805-815.
[5] [5] Zhang J, Xie Z, Sun J, et al. A cascaded R-CNN with multiscale attention and imbalanced samples for traffic sign detection[J]. IEEE Access, 2020, 8: 742-754.
[7] [7] Song S, Li Y, Huang Q, et al. A new real-time detection and tracking method in videos for small target traffic signs[J]. Applied Sciences, 2021, 11(7): 3061.
[8] [8] Guo K, He C, Yang M, et al, A pavement distresses identification method optimized for YOLOv5s[J]. Scientific Reports, 2022. 12(1): 35-42.
[9] [9] Zhao R, Tang H S, Shen J, et al. Enhancing autonomous driving safety: A robust traffic sign detection and recognition model TSD-YOLO[J]. Signal Processing, 2024, 225: 109619.
[10] [10] Soans R, Fukumizu Y. Custom anchorless object detection model for 3D synthetic traffic sign board dataset with depth estimation and text character extraction[J]. Applied Sciences, 2024, 14(14): 6352.
[12] [12] Praharsha H C, Poulose A. CBAM VGG16: An efficient driver distraction classification using CBAM embedded VGG16 architecture[J]. Computers in Biology and Medicine, 2024, 180: 108945.
[14] [14] Lin Y, Dollar P, Girshick R, et al. Feature pyramid networks for object detection[C]//Conference on Computer Vision and Pattern Recognition (CVPR), 2017: 936-944.
[15] [15] Tan M, Pang R, Le V. EfficientDet: Scalable and efficient object detection[C]//Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020: 10778–10787.
[16] [16] Howard A, Zhu M, Chen B, et al. Mobilenets: Efficient convolutional neural networks for mobile vision applications[J]. arXiv preprint arXiv: 1704.04861, 2017.
[17] [17] Haiming T, Jingjing J, Denny J L, et al. Detection of large-droplet macrovesicular steatosis in donor livers based on segment-anything model[J]. Laboratory Investigation: A Journal of Technical Methods and Pathology, 2023, 104(2): 100288.
[18] [18] Zhang L, Xing Z, Wang X. Background instance-based copy-paste data augmentation for object detection[J]. Electronics, 2023, 12(18): 4234.
[19] [19] Runxing Z, Zhiwen W, Wuyuan G, et al. Multi-scene image enhancement based on multi-channel illumination estimation[J]. Expert Systems with Applications, 2023, 226: 120271.
Get Citation
Copy Citation Text
DANG Hongshe, XIAO Lixia, ZHANG Xuande. Traffic Sign Recognition Algorithm under Adverse Lighting Conditions[J]. Semiconductor Optoelectronics, 2025, 46(1): 142
Category:
Received: Sep. 24, 2024
Accepted: Sep. 18, 2025
Published Online: Sep. 18, 2025
The Author Email: