A Yolov8-CE-based real-time traffic sign detection and identification method for autonomous vehicles
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Maximum Academic Press
Reference37 articles.
1. Huang Z, Li L, Krizek GC, Sun L. 2023. Research on traffic sign detection based on improved YOLOv8. Journal of Computer and Communications 11:226−32
Huang Z, Li L, Krizek GC, Sun L. 2023. Research on traffic sign detection based on improved YOLOv8. Journal of Computer and Communications 11:226−32
2. Zheng T, Huang Y, Liu Y, Tang W, Yang Z, et al. 2022. CLRNet: cross layer refinement network for lane detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). New Orleans, LA, USA. IEEE, : 888−97
Zheng T, Huang Y, Liu Y, Tang W, Yang Z, et al. 2022. CLRNet: cross layer refinement network for lane detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). New Orleans, LA, USA. IEEE, : 888−97
3. Qie K, Wang J, Li Z, Wang Z, Luo W. 2024. Recognition of occluded pedestrians from the driver’s perspective for extending sight distance and ensuring driving safety at signal-free intersections. Digital Transportation and Safety 3:65−74
Qie K, Wang J, Li Z, Wang Z, Luo W. 2024. Recognition of occluded pedestrians from the driver’s perspective for extending sight distance and ensuring driving safety at signal-free intersections. Digital Transportation and Safety 3:65−74
4. Wang Q, Li X, Lu M. 2023. An improved traffic sign detection and recognition deep model based on YOLOv5. IEEE Access 11:54679−91
Wang Q, Li X, Lu M. 2023. An improved traffic sign detection and recognition deep model based on YOLOv5. IEEE Access 11:54679−91
5. Lai H, Chen L, Liu W, Yan Z, Ye S. 2023. STC-YOLO: small object detection network for traffic signs in complex environments. Sensors 23:5307
Lai H, Chen L, Liu W, Yan Z, Ye S. 2023. STC-YOLO: small object detection network for traffic signs in complex environments. Sensors 23:5307
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