Abstract: 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.

Abstract: In one embodiment, a method includes receiving an image generated by a camera associated with a vehicle. The image includes a point of interest (POI) associated with a physical object. The method also includes determining a number of pixels from the POI of the image to an edge of the image. The edge of the image represents a location of the camera. The method further includes determining an offset distance from the POI to a Global Positioning System (GPS) unit associated with the vehicle using the number of pixels.

Abstract: 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.

Abstract: In one embodiment, a method includes receiving an image generated by a camera associated with a vehicle. The image includes a point of interest (POI) associated with a physical object. The method also includes determining a number of pixels from the POI of the image to an edge of the image. The edge of the image represents a location of the camera. The method further includes determining an offset distance from the POI to a Global Positioning System (GPS) unit associated with the vehicle using the number of pixels.

Abstract: 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.

Abstract: In one embodiment, a method includes receiving an image generated by a camera associated with a vehicle. The image includes a point of interest (POI) associated with a physical object. The method also includes determining a number of pixels from the POI of the image to an edge of the image. The edge of the image represents a location of the camera. The method further includes determining an offset distance from the POI to a Global Positioning System (GPS) unit associated with the vehicle using the number of pixels.

Abstract: In one embodiment, a method includes receiving an image generated by a camera associated with a vehicle. The image includes a point of interest (POI) associated with a physical object. The method also includes determining a number of pixels from the POI of the image to an edge of the image. The edge of the image represents a location of the camera. The method further includes determining an offset distance from the POI to a Global Positioning System (GPS) unit associated with the vehicle using the number of pixels.

Abstract: In one embodiment, a method includes receiving an image generated by a camera associated with a vehicle. The image includes a point of interest (POI) associated with a physical object. The method also includes determining a number of pixels from the POI of the image to an edge of the image. The edge of the image represents a location of the camera. The method further includes determining an offset distance from the POI to a Global Positioning System (GPS) unit associated with the vehicle using the number of pixels.