VEHICLE IMAGING SYSTEM AND METHOD

• US 20150235094A1
• Filed: 08/12/2014
• Published: 08/20/2015
• Est. Priority Date: 02/17/2014
• Status: Abandoned Application

• Current Assignee: GE Global Sourcing LLC (Westinghouse Air Brake Technologies Corporation)
• Original Assignee: General Electric Company
• Inventors: Blair, Matthew Lawrence, Clouse, Shannon Joseph, Nelson, Scott Daniel, Naithani, Nidhi, KRAELING, Mark Bradshaw, Rao, Dattaraj Jagdish, Azam, Anwarul
• Application Number:
  US14/457,353
• Publication Number:
  US 20150235094A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B61L 23/042 Track changes detection
• CPC Class Codes: B61L 23/047 Track or rail movements
• CPC Class Codes: G06F 18/21 Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
• CPC Class Codes: G06V 20/56 exterior to a vehicle by using sensors mounted on the vehicle
• CPC Class Codes: H04N 7/181 for receiving images from a plurality of remote sources

Abstract

An imaging system and method generate image data within a field of view that includes a cab of the vehicle and a portion of a route being traveled on and/or wayside devices disposed along the route. The cab includes a space where an operator of the vehicle is located. The image data generated by the camera is examined to identify route damage, a deteriorating condition of the route, and/or a condition of the wayside devices. The condition of the wayside devices can include damage to the wayside devices, a missing wayside device, deterioration of the wayside devices, or a change in terrain.

Claims

1. A system comprising:

a digital camera configured to be disposed in a first vehicle system, the camera configured to generate image data within a field of view of the camera, the field of view including at least a portion of a cab of the first vehicle system and at least one of a portion of a route being traveled by the first vehicle system or one or more wayside devices disposed along the route being traveled by the first vehicle system, the cab including a space where an operator of the first vehicle system is located during travel of the first vehicle system; and

one or more analysis processors configured to examine the image data generated by the camera to identify at least one of damage to the route, a deteriorating condition of the route, or a condition of the one or more wayside devices, the condition of the one or more wayside devices including at least one of damage to the one or more wayside devices, a missing wayside device, deterioration of the one or more wayside devices, or a change in terrain at or near the one or more wayside devices.

2. The system of claim 1, wherein the digital camera is a high definition camera.

3. The system of claim 1, wherein the one or more analysis processors are configured to be disposed onboard the first vehicle system for examination of the image data.

4. The system of claim 1, wherein the one or more analysis processors are configured to identify at least one of the damage to the route, the deteriorating condition of the route, or the condition of the one or more wayside devices based on at least one of an edge detection algorithm, pixel metrics, an object detection algorithm, baseline image data, or a pixel gradient in the image data.

5. The system of claim 1, wherein the one or more wayside devices include a signaling light and the one or more analysis processors are configured to identify a broken or missing light of the signaling light based on the image data.

6. The system of claim 1, wherein the one or more analysis processors are configured to identify the damage to the route as shifting of one or more supporting bodies that connect rails of the route, bending of the rails of the route, twisting of the rails of the route, or a spacing between the rails of the route that differs from a designated distance.

7. The system of claim 1, wherein the one or more analysis processors are configured to edit the image data acquired during a trip of the first vehicle system to create edited image data that includes the image data representative of the at least one of the damage to the route, the deteriorating condition of the route, or the condition of the one or more wayside devices but that does not include other image data.

8. The system of claim 1, wherein the one or more analysis processors are configured to determine a location of the first vehicle system when the image data representative of at least one of damage to the route, the deteriorating condition of the route, or the condition of the one or more wayside devices is obtained, and the one or more analysis processors are configured to examine the image data representative of at least one of the damage to the route, the deteriorating condition of the route, or the condition of the one or more wayside devices at the location, but to not examine the image data acquired at one or more other locations.

9. A method comprising:

generating image data within a field of view of a camera disposed onboard a first vehicle system, the field of view including at least a portion of a cab of the first vehicle system and at least one of a portion of a route being traveled by the first vehicle system or one or more wayside devices disposed along the route being traveled by the first vehicle system, the cab including a space where an operator of the first vehicle system is located during travel of the first vehicle system; and

examining, using one or more analysis processors, the image data generated by the camera to identify at least one of damage to the route, a deteriorating condition of the route, or a condition of the one or more wayside devices, the condition of the one or more wayside devices including at least one of damage to the one or more wayside devices, a missing wayside device, deterioration of the one or more wayside devices, or a change in terrain at or near the one or more wayside devices.

10. The method of claim 9, wherein the image data is generated and examined while the first vehicle system is moving along the route.

11. The method of claim 9, wherein the at least one of damage to the route, the deteriorating condition of the route, or the condition of the one or more wayside devices is identified based on at least one of an edge detection algorithm, pixel metrics, an object detection algorithm, baseline image data, or a pixel gradient in the image data.

12. The method of claim 9, wherein the one or more wayside devices include a signaling light and the image data is examined to identify a broken or missing light of the signaling light based on the image data.

13. The method of claim 9, wherein the damage to the route is identified by the one or more analysis processors as a shifting of one or more supporting bodies that connect rails of the route, bending of the rails of the route, twisting of the rails of the route, or a spacing between the rails of the route that differs from a designated distance.

14. The method of claim 9, further comprising editing the image data acquired during a trip of the first vehicle system to create edited image data that includes the image data representative of the at least one of damage to the route, the deteriorating condition of the route, or the condition of the one or more wayside devices but does not include other image data.

15. The method of claim 9, further comprising determining a location of the first vehicle system when the image data representative of the at least one of damage to the route, the deteriorating condition of the route, or the condition of the one or more wayside devices is generated, wherein the image data representative of the at least one of damage to the route, the deteriorating condition of the route, or the condition of the one or more wayside devices is examined based on the location and the image data acquired at one or more other locations is not examined

16. A system comprising:

a digital camera configured to be disposed in a rail vehicle, the camera configured to generate image data within a field of view of the camera, the field of view including at least a portion of a cab of the rail vehicle and at least one of a portion of a track outside of the rail vehicle or one or more wayside devices along the track being traveled by the rail vehicle, the cab including a space where an operator of the rail vehicle is located during travel of the rail vehicle; and

one or more analysis processors configured to be disposed onboard the rail vehicle and to examine the image data generated by the camera to identify a condition of at least one of the track or the one or more wayside devices, the condition including at least one of damage to the track, damage to the one or more wayside devices, a missing wayside device, or a changing condition of terrain at or near the one or more wayside devices.

17. The system of claim 16, wherein the digital camera is a high definition camera.

18. The system of claim 16, wherein the one or more analysis processors are configured to identify the condition of the at least one of the track or the one or more wayside devices based on at least one of an edge detection algorithm, pixel metrics, an object detection algorithm, baseline image data, or a pixel gradient in the image data.

19. The system of claim 16, wherein the one or more wayside devices include at least one of an inspection wayside device that inspects the rail vehicle as the rail vehicle moves past the inspection wayside device or a signaling wayside device that communicates information with the rail vehicle as the rail vehicle moves past the signaling wayside device.

20. The system of claim 16, wherein the one or more analysis processors are configured to determine a location of the rail vehicle when the image data representative of the condition of the at least one of the track or the one or more wayside devices is imaged.