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The research paper presents LC-YOLO, an enhanced YOLOv8-based model for lane detection and intrusion detection, addressing challenges such as varying lighting conditions and obstructions. Key improvements include the integration of large separable kernel attention and coordinate attention mechanisms, which enhance feature extraction and model performance. The model was validated using a custom dataset from Chinese highways, achieving a mean Average Precision (mAP) of 97.9%, demonstrating its effectiveness f

Author

Saif Kumbay

Language

EN