IP Library › Granted Patent US 10,613,539
Granted Patent B2
US 10,613,539 · App. 15/784,432 · Granted Apr 7, 2020

Autonomous vehicle trajectory planning

Inventors: William Falconer (Detroit, MI); Zachary Konchan (Westland, MI); Leonard Eber Carrier (Dearborn, MI); Erick Michael Lavoie (Dearborn, MI)
Assignee: Ford Global Technologies, LLC
G05D1/0214B60W30/00G05D1/0088G05D1/0274G05D2201/0213
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,613,539
App. No.
15/784,432
Granted
Apr 7, 2020
Kind
B2
Abstract

An autonomous vehicle controller includes a memory and a processor programmed to execute instructions stored in the memory. The instructions include detecting that a host vehicle is on a low friction surface, generating a composite map representing locations of a plurality of high friction surfaces, selecting one of the plurality of high friction surfaces, and autonomously navigating the host vehicle to the selected high friction surface by executing a slip control process.

Claims (28)

1. An autonomous vehicle controller comprising:

a memory; and

a processor programmed to execute instructions stored in the memory, the instructions including

detecting that a host vehicle is on a low friction surface,

then, in response to detecting that the vehicle is on the low friction surface, generating a composite map representing locations of a plurality of high friction surfaces and locations of obstacles,

selecting one of the plurality of high friction surfaces, and

autonomously navigating the host vehicle from the low friction surface to the selected high friction surface according to the composite map, including the locations of the plurality of high friction surfaces and the locations of the obstacles represented by the composite map, by executing a slip control process.

2. The autonomous vehicle controller of claim 1 , wherein the processor is programmed to autonomously navigate the host vehicle to the selected high friction surface while avoiding the obstacles.

3. The autonomous vehicle controller of claim 1 , wherein the processor is programmed to generate the composite map by generating a first map that includes the locations of the obstacles.

4. The autonomous vehicle controller of claim 3 , wherein the processor is programmed to generate the composite map by generating the first map to include a path range of the host vehicle.

5. The autonomous vehicle controller of claim 3 , wherein the processor is programmed to generate the composite map by generating a second map that includes the locations of the plurality of high friction surfaces.

6. The autonomous vehicle controller of claim 5 , wherein the processor is programmed to generate the composite map by combining portions of the first map and the second map.

7. The autonomous vehicle controller of claim 6 , wherein combining portions of the first map and the second map includes incorporating the plurality of high friction surfaces from the second map and the locations of the obstacles from the first map into the composite map.

8. The autonomous vehicle controller of claim 1 , wherein the processor is programmed to determine whether the host vehicle has arrived at the selected high friction surface.

9. The autonomous vehicle controller of claim 8 , wherein the processor is programmed to stop executing the slip control process as a result of determining that the host vehicle has reached the selected high friction surface.

10. A method comprising:

detecting that a host vehicle is on a low friction surface,

then, in response to detecting that the vehicle is on the low friction surface, generating a composite map representing locations of a plurality of high friction surfaces and locations of obstacles,

selecting one of the plurality of high friction surfaces, and

autonomously navigating the host vehicle from the low friction surface to the selected high friction surface according to the composite map, including the locations of the plurality of high friction surfaces and the locations of the obstacles represented by the composite map, by executing a slip control process.

11. The method of claim 10 , wherein autonomously navigating the host vehicle includes autonomously navigating the host vehicle to the selected high friction surface while avoiding the obstacles.

12. The method of claim 10 wherein generating the composite map includes generating a first map that includes the locations of the obstacles.

13. The method of claim 12 , wherein generating the composite map includes generating the first map to include a path range of the host vehicle.

14. The method of claim 12 , wherein generating the composite map includes generating a second map that includes the locations of the plurality of high friction surfaces.

15. The method of claim 14 , wherein generating the composite map includes combining portions of the first map and the second map.

16. The method of claim 15 , wherein combining portions of the first map and the second map includes incorporating the plurality of high friction surfaces from the second map and the locations of the obstacles from the first map into the composite map.

17. The method of claim 10 , further comprising determining whether the host vehicle has arrived at the selected high friction surface.

18. The method of claim 17 , further comprising stopping the slip control process as a result of determining that the host vehicle has arrived at the selected high friction surface.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 16, 2017
From: FALCONER, WILLIAM; KONCHAN, ZACHARY; CARRIER, LEONARD EBER; LAVOIE, ERICK MICHAEL
To: FORD GLOBAL TECHNOLOGIES, LLC
Reel/Frame 043871/0440 →
Continuity (1)
Related Publication 20190113924A1 · Apr 18, 2019
Cited By (1)
US 12,485,958