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Rail Surface Inspection
Critical Asset Detection Algorithms
The following algorithms were developed for a major national railroad to automatically detect numerous fixtures and hardware components that are considered critical assets by the federal rail administration. For this approach, a video camera and GPS/IMU system were located on the back of a locomotive to passively capture the track and surrounding environment while the locomotive was in motion.
The following asset detection algorithms were developed by Anthony to support this project.
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