Abstract: An automated track inspection vehicle for inspecting track for anomalies includes a self-propelled car equipped with cameras for creating images of the track. A driver and inspector visually inspect the track and right-of-way through a window in the vehicle. Additionally, the images from the cameras are viewed by an inspector on a video terminal to detect anomalies. When anomalies are detected by the driver, inspector, or various redundant detection systems, a signal is provided to store the video data for later review by an analyst. The analyst will review the stored video data to confirm the presence of an anomaly and generate a track inspection report identifying at least the type and location of anomaly and the required remedial action.

Abstract: An automated track inspection vehicle for inspecting track for anomalies includes a self-propelled car equipped with cameras for creating images of the track. A driver and inspector visually inspect the track and right-of-way through a window in the vehicle. Additionally, the images from the cameras are viewed by an inspector on a video terminal to detect anomalies. When anomalies are detected by the driver, inspector, or various redundant detection systems, a signal is provided to store the video data for later review by an analyst. The analyst will review the stored video data to confirm the presence of an anomaly and generate a track inspection report identifying at least the type and location of anomaly and the required remedial action.