Distributed Celling-Mounted Smart Cameras for Multi-Unmanned Gound Vehicle Routing and Coordination

• US 20170176999A1
• Filed: 12/19/2016
• Published: 06/22/2017
• Est. Priority Date: 12/17/2015
• Status: Active Grant

• Current Assignee: The Board of Trustees of the University of Arkansas (University of Arkansas System)
• Original Assignee: The Board of Trustees of the University of Arkansas (University of Arkansas System)
• Inventors: Bobda, Christophe
• Granted Patent: US 10,191,495 B2
• Time in Patent Office: Days
• CPC Class Codes: G05D 1/0297 by controlling means in a control room

Abstract

An autonomous guided vehicle system that provides decentralized coordination and real-time environmental changes in a workspace to a vehicle. The system includes distributed cameras positioned in predetermined locations. The cameras are adapted to communicate with other cameras to coordinate the movement of the vehicles from a source to a destination.

Claims

1. An autonomous guided vehicle system that provides decentralized coordination and real-time environmental changes in a workspace comprising:

a plurality of distributed cameras positioned in predetermined locations, each of said cameras having a field-of-view that covers a predetermined zone of the workspace and said cameras arranged to create overlapping fields-of-view of the workspace;

a plurality of guided vehicles, said vehicles in communication with said distributed cameras;

said distributed cameras adapted to collaboratively build and maintain a navigation map of the workspace; and

said cameras adapted to communicate with other cameras to coordinate the movement of said vehicles from a source to a destination.

2. The system of claim 1 wherein said cameras are located above said vehicles and are adapted to know the positions of the other cameras.

3. The system of claim 2 wherein each vehicle has at least one camera for short range navigation and collision avoidance.

4. The system of claim 2 wherein the system provides a navigation map to a vehicle in real-time.

5. The system of claim 4 wherein said navigation map is automatically updated by one or more of said cameras.

6. The system of claim 5 wherein said navigation map includes stationary and moving obstacles.

7. The system of claim 2 adapted to provide a navigation map to a vehicle entering a predetermined zone covered by said camera for that zone.

8. The system of claim 7 wherein said navigation map minimizes total routing time through said zone.

9. The system of claim 8 wherein said camera provides a revised navigation map to a vehicle in the zone covered by the camera to reroute the vehicle around an obstacle that was not present in the navigation map provided to the vehicle when the vehicle entered the zone.

10. The system of claim 2 wherein said cameras are adapted to update a navigation map in real-time whenever a change occurs in the workspace.

11. The system of claim 2 wherein said camera provides collision avoidance instructions to a vehicle at path intersections in the zone.

12. A method for autonomously guiding a plurality of vehicles from a source to a destination along a path in a workspace comprising the steps of:

providing a plurality of distributed cameras positioned in predetermined locations, each of said cameras having a field-of-view that covers a predetermined zone of the workspace and said cameras arranged to create overlapping fields-of-view of the workspace;

providing a plurality of guided vehicles, said vehicles in communication with said distributed cameras;

said distributed cameras adapted to collaboratively build and maintain at least one navigation map of the workspace, said at least one navigation map is already calculated when a vehicle enters the field-of-view of a camera and upon entering the field-of-view of a camera, the camera transmits a navigation map to said vehicle; and

said transmitting camera computes the necessary steps in a navigation map to send the vehicle to the next camera or destination.

13. The method of claim 12 wherein when a vehicle receives a navigation map, it translates the map into motor commands.

14. The method of claim 12 wherein said cameras knows its position relative to the other cameras.

15. The method of claim 12 wherein a segmentation algorithm is implemented to create a navigation map of the workspace.

16. The method of claim 15 wherein shortest paths are calculated and updated in real-time.

17. The method of claim 15 wherein said cameras are distributed across the workspace to collaboratively build and maintain a navigation map.

18. The method of claim 15 wherein the overlapping fields provide gapless coverage of the workspace.

19. The method of claim 15 wherein cameras represent routers and vehicles represent packets.

20. The method of claim 15 wherein when a path becomes obstructed in a zone, the camera covering the zone provides a new navigation map to a vehicle.