Real-time pedestrian detection for automotive systems using an optimized YOLOv9 framework
An enhanced pedestrian detection framework based on YOLOv9, specifically optimized for automotive applications is presented, confirming the model’s strong performance across diverse and challenging urban environments, making it well-suited for real-time pedestrian detection in autonomous vehicle systems.