A sensor device for vehicles is disclosed and includes a system with an electronic navigation sensor, a multi-spectral data sensor, a router for receiving data from each sensor, a communications device connected to the router for communicating data, and a computer processor. The computer processor is used to receive data from each sensor, store real time data from each sensor, and store a master data sequence file of data previously collected from the same operating track. The sensor device has software on the computer processor which is programmed to correlate data from the sensors with data from a master data sequence file for the given track, make inferences based on data about an event, and communicate alarms as programmed.

A positioning and odometry system (POS) includes one or more sensors configured to collect sensor data. The one or more sensors are operably coupled to a portable housing configured to be coupled to a vehicle body. POS has processing circuitry operably coupled to the one or more sensors. The processing circuitry is configured to determine, in response to the collected sensor data from the one or more sensors, vehicle position and odometry data.

A recording unit records an installation position of a ground installation object and an installation identifier of the ground installation object for each of a plurality of the ground installation objects installed beside a track on which a vehicle of a track transport system mounted with an external sensor travels; an installation object recognition unit specifies the installation identifier from external sensor information including information detected by the external sensor and recognizes the ground installation object corresponding to the installation identifier by referring to the recording unit; and a detection distance calculation unit calculates a detection distance of the external sensor. The detection distance calculation unit calculates the detection distance of the external sensor from a self-position of the vehicle at which the ground installation object is recognized and the installation position of the ground installation object recognized by the installation object recognition unit.

A computer-implemented method of localizing a radar sensor, the method comprising: obtaining a first radar scan of a first environment of the radar sensor, wherein the first radar scan comprises a set of power-range spectra, including a first power-range spectrum; extracting a first set of landmarks, including a first landmark, from the first radar scan, wherein the first landmark is defined by a range and an azimuth; computing a respective first set of descriptors, including a first descriptor, of the first set of landmarks, wherein the first descriptor defines the first landmark by respective relative ranges and azimuths in relation to one or more landmarks included in the first set of landmarks; accessing one or more reference sets of landmarks of respective environments and computing respective reference sets of descriptors of the reference sets of landmarks; matching the first set of descriptors to a corresponding first reference set of descriptors; and localizing a first location of the radar sensor using a first result of the matching.

A system and corresponding method are described, for use in alerting on objects in path of vehicle's propagation. The system comprising RF transmission/reception unit comprising at least one phased array antenna unit, and a control unit. The RF transmission/reception unit is configured for periodically scanning a selected region by transmission of interrogating RF signal and collecting reflected RF signals from the selected region and generate based thereon pattern data indicative of the collected RF signal, and for transmitting the pattern data to the control unit. The control unit is configured and operable for processing the pattern data for determining existence of interfering object in path of propagation of a vehicle carrying the system, and for generating alert data indicative of existence of one or more interfering objects.

Railroad crossing object detection systems and methods include radar sensors detecting object presence, speed and heading in a different manner. A controller compares signal outputs from the different sensors to provide traffic control preemption signals and self-diagnose sensor problems. The sensor devices may include an ultra-wideband (UWB) impulse radar device and at least one reflective device providing failsafe object presence detection and object non-presence detection in redundant fashion with at least a second sensor device such as a side-fired radar device.

A system and method for automating railroad maintenance by a tie gang using electronic tie marking (ETM) configured to optimize railroad asset maintenance. The system enables collision avoidance between members of the tie gang performing maintenance on railway assets (e.g., Rails, Ties, Ballasts, Turnouts, Crossings, etc.). The system can generate production numbers for the railway assets and evaluate an asset queue for the tie gang to perform maintenance. The system can utilize real-time updates from the tie gang to optimize work output. The system can provide a customizable user interface to identify, track, and process information related to maintenance of the railroad asset. The system also provides for a heads-up-display (HUD) to notify an operator of relevant information, such as maintenance information, travel indicators, and updated asset queue. The system can identify a next location and calculate an optimum path based on sensor input incorporating machine-specific and environmental characteristics.

A railway vehicle has two side walls facing each other to define a passenger compartment and a front end portion, which has two LIDAR devices arranged at the upper side corners of the front end portion; each of the LIDAR devices has a field of view of 360 about its axis, and such axis is oriented with a forward inclination and with a lateral outward inclination.

An object of the present invention is to provide an obstacle detection system and an obstacle detection method for a trajectory traveling vehicle, which are capable of detecting a front obstacle on a trajectory and around the trajectory with high accuracy. The system includes: a monitoring area setting processing unit that sets an obstacle monitoring area for detecting an obstacle; a front obstacle monitoring unit that monitors an obstacle in the obstacle monitoring area using a sensor that horizontally scans the front of the train; and an obstacle detection unit that detects an obstacle in the obstacle monitoring area based on a monitoring result by the front obstacle monitoring unit, in which the front obstacle monitoring unit complements a gap in a detection region of the sensor at a first position with a detection region of the sensor while the train moves from the first position to a second position.

A system and method for automating railroad maintenance by a tie gang using electronic tie marking (ETM) configured to optimize railroad asset maintenance. The system enables collision avoidance between members of the tie gang performing maintenance on railway assets (e.g., Rails, Ties, Ballasts, Turnouts, Crossings, etc.). The system can generate production numbers for the railway assets and evaluate an asset queue for the tie gang to perform maintenance. The system can utilize real-time updates from the tie gang to optimize work output. The system can provide a customizable user interface to identify, track, and process information related to maintenance of the railroad asset. The system also provides for a heads-up-display (HUD) to notify an operator of relevant information, such as maintenance information, travel indicators, and updated asset queue. The system can identify a next location and calculate an optimum path based on sensor input incorporating machine-specific and environmental characteristics.