According to one embodiment, a damaged region determination system of the embodiment includes a plurality of sensors, a position locator, and a determiner. The plurality of sensors detects elastic waves generated in a target object related to a railway which is a determination target of a damaged region. The position locator locates positions of sources of a plurality of elastic waves based on the plurality of elastic waves detected by each of the plurality of sensors. The determiner determines the damaged region in the target object based on the positions of the sources of the plurality of elastic waves.

An obstacle detection device includes: a sensor unit including a camera, a laser distance measuring device, and an optical element, and setting optical axes of the camera and the laser distance measuring device to an optical axis in the same direction using the optical element; a monitoring area control unit calculating a monitoring area to be monitored by the sensor unit using a position of a train, map information indicating a position of a track of the train, and an attitude angle of the train, and performing control to cause a direction of the optical axis of the sensor unit to be on a course of the train using a drive mirror; and an obstacle determination unit detecting an obstacle on the course of the train based on monitoring results of the camera and the laser distance measuring device, and determining whether a collision avoidance action is necessary.

A rail vehicle system, a rail vehicle, and a visual sensing device are provided. The rail vehicle system includes a system control device, a rail, and a rail vehicle. The rail vehicle includes a processing device and the visual sensing device. In a process where the rail vehicle travels along the rail, the visual sensing device captures images in front of the rail vehicle, and the visual sensing device emits a laser beam toward a front side of the rail vehicle. The visual sensing device receives the reflected laser beam to generate a laser sensing data. The processing device determines whether or not to change at least one of a travel direction and a travel speed of the rail vehicle according to the images captured by the visual sensing device and the laser sensing data.

A system includes one or more processors. The one or more processors are configured to receive crossing obstruction information from an optical sensor disposed proximate a crossing of a route traversed by a vehicle, with the crossing obstruction information indicating a presence of an obstruction to the crossing; obtain position information indicating a position of the vehicle traversing the route; determine proximity information of the vehicle indicating proximity of the vehicle to the crossing using the position information; determine a presence or absence of an alert state indicating a potential of the crossing being obstructed using the crossing obstruction information and the proximity information; and perform a responsive activity based responsive to a determination of the presence of the alert state.

A computer-implemented method in which one or more processing devices perform operations may include obtaining a field image of a railcar collected from a field camera system and applying a machine-learning algorithm to the field image to generate a machine-learning algorithm output. The method may also include performing a post-processing operation on the machine-learning algorithm output to generate a filtered machine-learning algorithm output. Further, the method may include detecting a defect of the railcar using the filtered machine-learning algorithm output.

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.

A system for detection and identification of objects and obstacles near, between or on railway comprise several forward-looking imagers adapted to cover each different range forward and preferably to be sensitive each to different wavelength of radiation, including visible light, LWIR, and SWIR. The substantially homogeneous temperature along the rail the image of which is included in an imager frame assists in identifying and distinguishing the rail from the background. Image processing is applied to define living creature in the image frame and to distinguish from a man-made object based on temperature of the body. Electro optic sensors (e.g. thermal infrared imaging sensor and visible band imaging sensor) are used to survey and monitor railway scenes in real time.

Even in a case where an external camera image-captures a door of a car, with high precision, it can be set to be determined whether or not a foreign substance inserted into the door is present. A monitoring apparatus acquires a camera image that results from a camera image-capturing the vicinity of a door of a car using an external camera, from a camera. A processor of the monitoring apparatus detects the door from the camera image, sets a determination area based on a position of the detected door, acquires an image of the determination area from the camera image, determines whether or not a foreign substance inserted into the door is present, based on the image of the determination area, and performs report outputting to a monitor and a reporting apparatus according to a result of the determination.

An emergency action system for use with a railcar or locomotive is described herein. The emergency action system may include a transmitter and a locomotive transceiver located within a cabin of the locomotive. The locomotive transceiver may receive a signal sent from the transmitter and may further send an emergency stop signal to a set of brakes on the locomotive to stop. The emergency stop signal may cause air to be released from the brake pipe, thereby applying the brakes and bringing the train to an immediate stop. The emergency action system enables crew members to stop a train or railcar without communication to the locomotive operator when a hazard is recognized.

A method and a system (30) for inspecting and/or mapping a railway track (18). The method comprises: acquiring geo-referenced rail geometry data associated with geometries of two rails (20) of the track along the section; acquiring geo-referenced 3D point cloud data, which includes point data corresponding to the two rails and surroundings of the track along the section; deriving track profiles of the track from the geo-referenced 3D point cloud data and the geo-referenced rail geometry data; and comparing the track profiles and generating enhanced geo-referenced rail geometry data and/or enhanced geo-referenced 3D point cloud data based on the comparison.