Abstract: A track defect false alarm mitigation apparatus for a rail vehicle that is conveyed on a railway includes a processor onboard the rail vehicle that is constructed to perform feature detection on a track image captured from the railway to label an attribute in the track image as a feature of the railway captured in the track image. Model parameters for a track detection model are accepted from another processor. A track detection model is executed using the model parameters provided thereto to generate a track configuration context that predicts the locations of track configuration components. An attempt is made to register the feature and the track configuration context one with the other. The issuance of an alert of a track defect is excluded except in response to the feature registering with the track configuration context to a confidence level.

Abstract: A system and method for detecting buckled rail and for predicting a risk for rail buckling is disclosed. The method may comprise receiving data from a camera mounted on locomotive traveling on the railroad track. The data may include images of the buckled rail and dimensions of the buckled rail when the camera detects the buckled rail. The data may further include images of the ballast and condition of the ballast. The method may further comprise receiving data from a thermal camera mounted to the locomotive indicating the temperature of the rails. The method may further comprise transmitting an alarm signal to a display interface of a remote unit if the dimensions of the buckled rail meet a predetermined threshold, and predicting a risk for rail buckling based at least on the temperature of the rails and the condition of the ballast.

Abstract: A system and method for detecting buckled rail and for predicting a risk for rail buckling is disclosed. The method may comprise receiving data from a camera mounted on locomotive traveling on the railroad track. The data may include images of the buckled rail and dimensions of the buckled rail when the camera detects the buckled rail. The data may further include images of the ballast and condition of the ballast. The method may further comprise receiving data from a thermal camera mounted to the locomotive indicating the temperature of the rails. The method may further comprise transmitting an alarm signal to a display interface of a remote unit if the dimensions of the buckled rail meet a predetermined threshold, and predicting a risk for rail buckling based at least on the temperature of the rails and the condition of the ballast.