NAVIGATION AND CONTROL SYSTEM FOR AUTONOMOUS VEHICLES

• US 20120035788A1
• Filed: 09/22/2011
• Published: 02/09/2012
• Est. Priority Date: 03/16/2006
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Gray & Company, Inc.
• Inventors: Nagel, Jorge Emilio, Kinney, Powell McVay, Dooner, Matthew Taylor, Wilson, Bruce Mackie, Schneider, Carl Reimers Jr., Goeller, Keith Brian, TREPAGNIER, Paul Gerard
• Granted Patent: US 8,346,480 B2
• Time in Patent Office: Days
• US Class Current: 701/3
• CPC Class Codes: B60W 10/06 including control of combustion engines
• CPC Class Codes: B60W 10/20 including control of steering systems
• CPC Class Codes: B60W 2552/35 Road bumpiness, e.g. potholes
• CPC Class Codes: B60W 30/00 Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
• CPC Class Codes: B60W 30/095 Predicting travel path or likelihood of collision
• CPC Class Codes: G01S 17/931 of land vehicles
• CPC Class Codes: G01S 7/4817 relating to scanning
• CPC Class Codes: G05D 1/00 Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots drive control systems specially adapted for autonomous road vehicles B60W60/00
• CPC Class Codes: G05D 1/0238 using obstacle or wall sensors G05D1/0246 and G05D1/0289 take precedence; lidar systems designed for anti-collision purposes G01S17/93
• CPC Class Codes: G05D 1/024 in combination with a laser lasers per se H01S
• CPC Class Codes: G05D 1/0242 using non-visible light signals, e.g. IR or UV signals
• CPC Class Codes: G05D 1/0274 using mapping information stored in a memory device navigation using map-matching G01C21/30
• CPC Class Codes: G05D 1/0278 using satellite positioning signals, e.g. GPS

Abstract

A navigation and control system including a sensor configured to locate objects in a predetermined field of view from a vehicle. The sensor has an emitter configured to repeatedly scan a beam into a two-dimensional sector of a plane defined with respect to a first predetermined axis of the vehicle, and a detector configured to detect a reflection of the emitted beam from one of the objects. The sensor includes a panning mechanism configured to pan the plane in which the beam is scanned about a second predetermined axis to produce a three dimensional field of view. The navigation and control system includes a processor configured to determine the existence and location of the objects in the three dimensional field of view based on a position of the vehicle and a time between an emittance of the beam and a reception of the reflection of the emitted beam from one of the objects.

Claims

1. A method for navigation and control of an autonomous vehicle, comprising:

repeatedly producing three dimensional images in a field of view in a direction of travel of the vehicle;

determining a geospatial coordinate of the vehicle, a speed of the vehicle, and a heading of the vehicle,

detecting an object in the repeatedly produced 3D images;

determining a geospatial coordinate of an object existing in the repeatedly produced 3D images based on a first angular position of the object relative to the vehicle, a second angular position of the object relative to the vehicle, a speed of the vehicle, the geospatial coordinate of the vehicle, and the heading of the vehicle; and

controlling movement of the vehicle to avoid collision with the object based at least in part on the geospatial coordinates of the object and of the vehicle and the speed of the vehicle.

2. The method of claim 1, further comprising:

storing in a memory a predetermined path of the vehicle between first and second locations; and

controlling the vehicle to travel between the first and second locations, including adjusting vehicle direction to avoid collision with detected objects.

3. The method of claim 1, further comprising:

using at least one of a global positioning based system and an inertial navigation based system to determine the geospatial coordinate of the vehicle.

4. The method of claim 1, further comprising:

determining if the object is in the predetermined path of the vehicle.

5. The method of claim 4, further comprising:

determining that the object is an obstacle requiring vehicle avoidance.

6. The method of claim 5, further comprising:

determining a field of view sector where said obstacle exists; and

storing an obstacle indicator indicative that said obstacle exists in the field of view sector.

7. The method of claim 6, further comprising:

tracking which field of view sectors have obstacles and which field of view sectors do not have obstacles in order to avoid obstacle collision.

8. The method of claim 5, further comprising:

producing a contour map of the object.

9. The method of claim 8, further comprising:

determining from the contour map a first point on the contour map that is farther away from the vehicle than a second point on the contour map;

identifying the object as said obstacle requiring vehicle avoidance if a slope between the first point and the second point is greater than a predetermined slope and if a height between the first point and the second point is greater than a predetermined height.

10. The method of claim 5, further comprising:

determining if the obstacle is to be avoided by determining if a geospatial position of the obstacle and a projected path of the vehicle provide lateral clearance between the obstacle and the vehicle.

11. The method of claim 5, further comprising:

providing at least one of direction and speed control to the vehicle in order to avoid the obstacle.

12. The method of claim 5, further comprising:

obtaining a destination of the vehicle; and

directing the vehicle in order to avoid the obstacle and to return on course to the destination.

13. The method of claim 5, further comprising:

determining a maximum height or depth and a maximum slope for the object in the three dimensional field of view in order to determine if said object is said obstacle requiring vehicle avoidance.

14. The method of claim 1, further comprising:

determining first and second points on a contour map of the object,

determining if said first point is farther away from the vehicle than said second point,

determining a slope between the first point and the second point,

determining if said slope is greater than a predetermined slope, and

determining if a height between the first point and the second point is greater than a predetermined height, and if so, determining the object is an obstacle requiring vehicle avoidance.

15. The method of claim 1, wherein controlling movement of the vehicle to avoid collision comprises controlling movement of a land-based vehicle.

16. The method of claim 15, wherein controlling movement of a land-based vehicle comprises controlling movement of at least one of an automobile, a truck, a sport utility vehicle, rescue vehicle, an agricultural vehicle, a mining vehicle, an escort vehicle, a toy vehicle, a reconnaissance vehicle, a test-track vehicle, and an armored vehicle.

17. The method of claim 1, wherein controlling movement of the vehicle to avoid collision comprises controlling movement of a watercraft.

18. The unit of claim 17, wherein controlling movement of a watercraft comprises controlling movement of at least one of a boat, a ship, a barge, a tanker, an amphibious vehicle, a hovercraft, and an armored ship.

19. The method of claim 1, wherein controlling movement of the vehicle to avoid collision comprises controlling movement of an aircraft.

20. A method for navigation and control of an autonomous vehicle, comprising:

repeatedly producing three dimensional images in fields of view in a direction of travel of the vehicle;

determining a geospatial coordinate of the vehicle, a speed of the vehicle, and a heading of the vehicle,

detecting in the repeatedly produced 3D images an object in the direction of travel of the vehicle;

producing a contour map of the object;

determining from the contour map a first point on the contour map that is farther away from the vehicle than a second point on the contour map;

identifying the object as an obstacle to be avoided if a slope between the first point and the second point is greater than a predetermined slope and if a height between the first point and the second point is greater than a predetermined height.