Real-time multi-color traffic cone object detection and instance counting system using YOLOv8, achieving 0.9831 mAP@0.5 and sub-18ms GPU latency for ROS2 autonomous navigation.
computer-vision deep-learning robotics pytorch object-detection autonomous-driving obstacle-avoidance ros2 ultralytics yolov8 traffic-cone-detection instance-counting
-
Updated
Sep 7, 2026 - Python