A solution for evaluating passing vehicles can include one or more imaging devices and a computing unit for processing image data acquired by the imaging device(s). The imaging devices can acquire image data that enables the computing unit to accurately identify a location of an element of the vehicle in an area that includes a region in which the passing vehicle is located and a restricted region in which no element or portion of an element of the passing vehicle should be unnecessarily located. The computing unit can classify any element at least partially located within the restricted region and initiate an action when such an element is not classified into a category of elements that is necessary to be located within the restricted region.

The vehicle odometry and motion direction system and method is described. The vehicle odometry and motion direction system and method determines if the first ground speed data is acceptable. Ground speed data is calculated for all targets within a radar's field of view and targets ground speed data is processed to determine second ground speed data. The vehicle odometry and motion direction system and method determines trusted ground speed data using first ground speed data and second ground speed data and adjusts the trusted ground speed data due to errors in radar Doppler speed data.

Systems and methods for detecting or predicting potential collisions between vehicles are provided. The systems and methods may receive sensor output indicative of a location, a heading, and/or a moving speed of a first vehicle and/or a second vehicle. The systems and methods may predict a collision between the vehicles at an intersection between routes based on the received sensor output. The systems and methods may change movement of the first vehicle and/or the second vehicle responsive to predicting the collision.

A detection system and method for line infrastructures of a railway line includes: at least one electromagnetic-wave detection device having at least one transceiver antenna, the electromagnetic-wave detection device being configured for emitting electromagnetic waves towards a line infrastructure by means said at least one transceiver antenna and for receiving electromagnetic waves reflected by said line infrastructure; and a control unit configured for processing the electromagnetic waves reflected by said line infrastructure and determining a position of said line infrastructure with respect to a pre-set reference system. The at least one electromagnetic-wave detection device is configured for installation on board a railway vehicle.

A track intrusion detection system for detecting the presence of human-size intruders in a path of a railway vehicle is disclosed. The track intrusion detection system includes at least one-track module for each entrance of a tunnel railway and a server. Each track module includes at least two sensors and a signal processing unit to indicate the presence of human intruders in the area scanned by the at least two sensors. The system utilizes both measured distance and reflectivity compared with previously recorded distance and reflectivity in an empty tunnel, to assess the presence of a human-size intruder. A predefined masked area may be excluded from alert.

A plurality of cameras is secured to railroad ties to take high resolution images of the underside of a train car as it passes over this plurality of cameras. These images are important to insure the structural integrity of the parts of the rail car as well as the connection means—a coupler and pin—between two rail cars. The shutter speed of the cameras is determined by the speed of the train as it passes over the cameras. As the images are taken, the images can be downloaded and sent to a remote location for further analysis.

A deployable measurement system for analyzing a rail of a railroad track includes a housing, a reflecting assembly coupled to the housing, a movement assembly coupled to the housing, and an optical measurement system disposed within the housing. Both the housing and the reflecting assembly are moveable between a stored position and a deployed position. The movement assembly includes a deployment assembly that moves the reflecting assembly from the stored position to the deployed position, and a retraction assembly that moves the reflecting assembly from the deployed position to the stored position. The optical measurement system emits and receives light. The reflecting assembly reflects the emitted light toward the rail. The reflecting assembly reflects light reflected off of the rail toward the optical measurement system. The light received by the optical measurement system is used to measure parameters related to the rail.

External sensor data is efficiently recorded without changing a resolution or a sampling rate. In a data recording device, an acquired data property storing unit stores, as a data property, an external environment in which external sensor data is to be recorded, an external sensor data property recognizing unit recognizes, as a data property, the external environment corresponding to the external sensor data, a data recording necessity determining unit determines, based on the data property recognized by the external sensor data property recognizing unit and the data property stored in the acquired data property storing unit, whether the external sensor data is required to be recorded, and a data recording unit records the external sensor data when it is determined by the data recording necessity determining unit that the external sensor data is required to be recorded.

A method may include detecting a first pressure and a second pressure of a fluid in a brake pipe of a vehicle system that includes a plurality of vehicles and extends from a lead vehicle to an end vehicle. The first pressure may be measured in the lead vehicle and the second pressure may be measured in the end vehicle. The method may further include determining a pressure differential signature between the first pressure and the second pressure and evaluating the pressure differential signature with a machine learning model to determine whether a blockage or a leak exists in the brake pipe. A system may include one or more processors configured to detect a first pressure and a second pressure of a fluid in a brake pipe. The one or more processors may be further configured to determine a pressure differential signature between the first pressure and the second pressure and evaluate the pressure differential signature with a machine learning model to determine whether a blockage exists in the brake pipe.

An apparatus and a method for increasing the movement speed of the rail vehicle while carrying out measures for controlling weeds on track systems. A rail vehicle equipped with an apparatus for increasing the movement speed of the rail vehicle while carrying out measures for controlling weeds on track systems.