A track recording vehicle for detecting the resilience of a rail track has a machine frame supported on two rail-mounted undercarriages. A first measuring system detects a vertical distance of the rail track under load and a second measuring system detects a vertical distance of the rail track under no load or with reduced load. The first measuring system is coupled to an evaluation device for calculating the course of a first vertical sine and the second measuring system determines a course of a second vertical sine, relative to a common reference base defined by two outer measuring points under load, at an interposed central measuring point without or with reduced load. The evaluation device calculates a subsidence of the rail track under load from the two vertical sines. The track recording vehicle detects a subsidence of the rail track under load in a single measuring run.

A system and method obtain first image data of a route at a location of interest from a first optical sensor disposed onboard a vehicle system moving along the route. The first image data depicts the route at the location of interest prior to passage of the vehicle system over the route at the location of interest. Second image data of the route at the location of interest is obtained from a second optical sensor disposed onboard the vehicle system. The second image data depicts the route at the location of interest after passage of the vehicle system over the route at the location of interest. A determination is made as to whether a change in the route has occurred at the location of interest by comparing the first image data with the second image data.

In one embodiment, a method includes identifying, by an image detection tool, a tank within an image of a railway environment and identifying, by the image detection tool, a railroad track within the image of the railway environment. The method also includes determining, by the image detection tool, a distance between the tank and the railroad track and comparing, by the image detection tool, the distance between the tank and the railroad track to a predetermined threshold distance. The method further includes determining, by the image detection tool, that the tank presents a hazard to the railway environment in response to comparing the distance between the tank and the railroad track to the predetermined threshold distance.

Method for controlling altitude of a vehicle moving along a segmented track. The method including receiving, at a controller, data generated by one or more sensors and determining, at the controller, an altitude of the vehicle relative to the segmented track. The method then receives, at the controller, data relating to the length of a track segment between two or more supports and the weight of the vehicle and determining, at the controller, a speed of the vehicle relative to the length of the track segment. The method also calculating, at the controller, the deflection of the segmented track between two supports based on the length of the track segment, the weight of the vehicle, and the speed of the vehicle. The controller adjusts the altitude of the vehicle relative to the segmented track by an offset equivalent to the deflection of the segmented track thereby maintaining a constant altitude.

A method for optically examining a route such as a track includes obtaining one or more images of a segment of a track from a camera mounted to a rail vehicle while the rail vehicle is moving along the track and selecting a benchmark visual profile of the segment of the track. The benchmark visual profile represents a designated layout of the track. The method also can include comparing the one or more images of the segment of the track with the benchmark visual profile of the track and identifying one or more differences between the one or more images and the benchmark visual profile as a misaligned segment of the track.

A method includes obtaining one or more images of a segment of a route from a camera while a vehicle is moving along the route. The segment of the route includes one or more guide lanes. The method also includes comparing, with one or more computer processors, the one or more images of the segment of the route with a benchmark visual profile of the route based at least in part on an overlay of the one or more images onto the benchmark visual profile or an overlay of the benchmark visual profile onto the one or more images. The one or more processors identify a misaligned segment of the route based on one or more differences between the one or more images and the benchmark visual profile and respond to the identification of the misaligned segment of the route by modifying an operating parameter of the vehicle.

In one embodiment, a method includes capturing, by a machine vision device, an image of an object in a railway environment. The machine vision device is attached to a first train car that is moving in a first direction along a first railroad track of the railway environment. The method also includes analyzing, by the machine vision device, the image of the object using one or more machine vision algorithms to determine a value associated with the object. The method further includes determining, by the machine vision device, that the value associated with the object indicates a potential deficiency of the object and communicating, by the machine vision device, an alert to a component external to the first train car. The alert comprises an indication of the potential deficiency of the object.

An on-board thermal track misalignment detection system method therefor is presented. The system can use on-board locomotive sensors attached to an end-of-train device to detect (on the edge), signs and symptoms of thermal misalignments of the track. Once detected an alert can be transmitted to prevent potential derailments. The system can also include a forward-facing and rearward-facing imaging sensors (e.g., camera, LiDAR sensor, etc). The system can wirelessly communicate (e.g., via radio) with a leading locomotive to ensure proper air pressure and location. The system can be powered by an on-board battery and/or air pressure device. Advantageously, the system can calculate whether any rail deviation is significant (e.g., via one or more threshold values). The system can also leverage image processing functionality, executed by one or more processors) to find the centerline and the distance between the tracks.

A monitoring method and system monitor a transmitted current that is injected into conductive components of a route traveled by vehicle systems, monitor a received current that represents a portion of the transmitted current that is conducted through the conductive components of the route, examine changes in the transmitted and/or received current over time to determine when the vehicle systems are on the route between a first location where the transmitted current is injected into the conductive components and a second location where the received current is monitored, and examine the changes in the transmitted and/or received currents. The changes are examined to identify (a) a contaminated portion of a surface on which the route is disposed, (b) a foreign object other than the vehicle systems that is contacting the route, and/or (c) a damaged or broken portion of at least one of the conductive components of the route.

The invention relates to a method for determining an actual position of rails of a track by means of an optical sensor device, positioned on a rail vehicle, for recording the position of the track and adjacent installations. In this, it is provided that, by means of the sensor device, a course of the track and a course of the adjacent installations, in particular a catenary installation, are recorded for a track section as preliminary actual data, and that the preliminary actual data are transformed into corrected actual data in an evaluation device in that a recorded course of at least one adjacent installation is transformed into a course with a specified geometric shape. In addition, the invention relates to a system for implementing the method.