Enhancing Vision-Based Perception in Autonomous Driving: YOLO11–DETR Integration with Selection Model
Abstract. Vision-based object detection is a key component of autonomous driving perception systems; however, models pretrained on large-scale generic datasets usually struggles when implemented in automotive environments due to domain shift. This research introduces a comprehensive evaluation and fusion of YOLO11 and...