Abstract
Recently, the importance of obstacle detection methods for railway has been increasing. In the field of automobiles, obstacle detection systems with sensors have been introduced on mass-produced vehicles. However, in railway, a practical detection system does not exist because railways require longer detection distances than do automobiles. Therefore, we have developed a train frontal obstacle detection method using a camera and LiDAR. We confirmed that our method detects a person 200 m away, which a camera alone cannot detect, with 45% accuracy at night.
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