자동주행 차량 자세 센서 정보를 활용한 도로 상태 인식

초록

This study presents an autonomous transport vehicle equipped with an IMU sensor to detect surface irregularities and ensure stable operation in high-traffic environments. The vehicle collects acceleration and orientation data?including Roll, Pitch, and Yaw?across multiple indoor and outdoor surfaces. Using machine learning techniques, the system classifies road conditions in real time. Experimental results demonstrate accurate differentiation between smooth and rough terrains, providing a reliable foundation for safer, more comfortable, and efficient autonomous transport in complex environments.