A system that includes a detection device, an imaging device, and a control device is disclosed. The detection device may generate proximity data relating to a proximity of an undercarriage of a rail vehicle, and the imaging device may capture one or more thermal images of the undercarriage. The control device may receive a first thermal image and a second thermal image of the undercarriage. The first thermal image may be captured using a first integration time, and the second thermal image may be captured using a second integration time. The control device may determine composite thermal data associated with the undercarriage. The composite thermal data may include information mapping a first range of thermal data and mapping a second range of thermal data to one or more components of the undercarriage. The control device may cause an action to be performed in connection with the composite thermal data.

A millimeter wave radar apparatus determining an obstacle on a railway is applied to the railway and the obstacle. The millimeter wave radar apparatus includes a user interface and a millimeter wave radar. The user interface is configured to control the millimeter wave radar. The millimeter wave radar is configured to transmit a radar wave to a predetermined range on the railway. The millimeter wave radar is configured to receive a reflected radar wave reflected from the predetermined range on the railway based on the radar wave. The user interface is configured to determine whether the obstacle is in the predetermined range on the railway based on the reflected radar wave. If the user interface determines that the obstacle is in the predetermined range on the railway, the user interface is configured to provide a warning.

A situational awareness system for a vehicle comprising a cyber-physical system, wherein the situational awareness system is configured to generate an imaging dataset for processing by the cyber-physical system for enabling semi-autonomous or autonomous operational mode of the vehicle, wherein the situational awareness system includes a sensory system with a first electro-optical unit for imaging the surroundings of the vehicle, a second electro-optical unit configured for imaging a ground area in a direct vicinity of the vehicle, a radar unit for detecting objects, and a third electro-optical unit for object identification, wherein the situational awareness system further includes a data synchronization system configured to synchronize the imaging dataset obtained by means of each unit of the sensory system, wherein the data synchronization system is configured to provide the synchronized imaging dataset to the cyber-physical system of the vehicle.

A system for monitoring a traffic situation includes at least one radar sensor unit for recording environmental data in a monitoring region of the radar sensor unit. A central processor evaluates the environmental data from the radar sensor unit and determines the traffic situation within the monitoring region based on the environmental data. A reference signal unit for outputting a reference signal to the radar sensor unit is configured to modulate a radar signal emitted by the radar sensor unit and to reflect a modulated radar signal back to the radar sensor unit as a reference signal. The processor identifies the modulated radar signal as a reference signal from the reference signal unit and recognizes a malfunction of the radar sensor unit if a reference signal is not received by the radar sensor unit.

The disclosed solution generally relates to a hyperloop vehicle detecting objects in a hyperloop system. Hyperloop vehicles operate at incredible velocities and require robust systems to detect objects that increase the risk to a hyperloop vehicle. Transponders typically provide long-range data about the activity of downstream hyperloop vehicles. However, nearby objects require detection at line-of-sight distances in order to ensure that objects and vehicles within a given transponder interval distance are detected. The disclosed system provides an elegant solution that combines the advantages of both transponder-based object detection and sensor-based object detection.

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 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.

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.

This disclosure provides a target tracking method and apparatus, relate to the field of data processing technologies, and may be used for security protection, assisted driving, and self-driving. The method includes: obtaining a camera target tracking result and a radar target tracking result; and obtaining a target tracking result based on the camera target tracking result and a target model corresponding to the radar target tracking result, where the target model indicates an association relationship between a target in the radar target tracking result and height information of the target.

A positive train control may comprise a plurality of different sensors coupled to a processor that determines whether there is an anomaly of a track way, and if there is, provides an alert and/or a train control action. The plural sensors may include a visual imager, an infrared imager, a radar, a doppler radar, a laser sensor, a laser ranging device, an acoustic sensor, and/or an acoustic ranging device. Data from the plural sensors is geo-tagged and time tagged. Some embodiments of the train control employ track monitors, switch monitors and/or wayside monitors, and some employ locating devices such as GPS and inertial devices.