Edge-Optimized YOLO Architectures for Real-Time Autonomous Vehicle Perception: A Hardware-Aware Co-Design Framework
Object detection is the perceptual backbone of autonomous driving, and single-stage detectors of the YOLO family have become the practical default wherever frames must be processed within real-time budgets. Yet the published detection literature optimizes predominantly for benchmark accuracy on server-class accelerator...