IP Library › Granted Patent US 10,678,248
Granted Patent B2
US 10,678,248 · App. 15/897,368 · Granted Jun 9, 2020

Fast trajectory planning via maneuver pattern selection

Inventors: Jordan Ford (Warren, MI); Sayyed Rouhollah Jafari Tafti (Troy, MI); Syed B. Mehdi (Farmington Hills, MI)
Assignee: GM GLOBAL TECHNOLOGY OPERATIONS LLC
G05D1/0212G05D1/0088
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Quick Facts
Patent No.
US 10,678,248
App. No.
15/897,368
Granted
Jun 9, 2020
Kind
B2
Abstract

Technical solutions are described for maneuvering a vehicle autonomously is described. An example method includes receiving, by a controller, a command to navigate the vehicle, the command based on a global route calculation. The method further includes ranking, by the controller, maneuver patterns from a list of maneuver patterns to generate a ranked list of maneuver patterns. The method further includes selecting a maneuver pattern from the ranked list, and in response to a comfort score assigned to the selected maneuver pattern being above a predetermined threshold, executing the maneuver pattern.

Claims (37)

1. A method for maneuvering a vehicle autonomously, the method comprising:

receiving, by a controller, a command to navigate the vehicle, the command based on a global route calculation;

ranking, by the controller, maneuver patterns from a list of maneuver patterns to generate a ranked list of maneuver patterns;

selecting a maneuver pattern from the ranked list, wherein the selected maneuver pattern is the highest untried maneuver pattern from the ranked list;

in response to a comfort score assigned to the selected maneuver pattern being above a predetermined threshold, executing the maneuver pattern; and

adjusting the predetermined threshold responsive to none of the maneuver patterns from the ranked list meeting the predetermined threshold.

2. The method of claim 1 , wherein a maneuver pattern comprises a plurality of trajectories.

3. The method of claim 2 , wherein selecting the maneuver pattern comprises:

determining the comfort score of a first trajectory from the maneuver pattern based on attribute values assigned to the trajectory and local parameters.

4. The method of claim 3 , wherein the local parameters comprise parameters computed for obstacles in a predetermined vicinity surrounding the vehicle.

5. The method of claim 3 , the selection of the maneuver further comprises performing a local optimization within the plurality of trajectories to identify a trajectory that satisfies the predetermined threshold for the comfort score.

6. The method of claim 1 , wherein the global route calculation is performed based on a source and destination provided to the vehicle for autonomous navigation.

7. A trajectory planning system comprising:

a memory; and

a processor coupled with the memory, the processor configured to determine a trajectory for moving a vehicle autonomously, the determination comprising:

receiving, by a controller, a command to navigate the vehicle, the command based on a global route calculation;

ranking, by the controller, maneuver patterns from a list of maneuver patterns to generate a ranked list of maneuver patterns, wherein the list comprises and end-of-list NULL entry, which is a specific entry at an end of the list to identify the end of the list;

selecting a maneuver pattern from the ranked list, wherein the selected maneuver pattern is the highest untried maneuver pattern from the ranked list; and

in response to a comfort score assigned to the selected maneuver pattern being above a predetermined threshold, executing the maneuver pattern.

8. The system of claim 7 , wherein a maneuver pattern comprises a plurality of trajectories.

9. The system of claim 8 , wherein selecting the maneuver pattern comprises determining the comfort score of a first trajectory from the maneuver pattern based on attribute values assigned to the trajectory and local parameters.

10. The system of claim 9 , wherein the local parameters comprise parameters computed for obstacles in a predetermined vicinity surrounding the vehicle.

11. The system of claim 9 , the selection of the maneuver further comprises performing a local optimization within the plurality of trajectories to identify a trajectory that satisfies the predetermined threshold for the comfort score.

12. The system of claim 7 , wherein the determining further comprises, adjusting the predetermined threshold if none of the maneuver patterns from the ranked list meet the predetermined threshold.

13. A vehicle controller for determining a trajectory for moving a vehicle autonomously, the determination comprising:

receiving, by a controller, a command to navigate the vehicle, the command based on a global route calculation;

ranking, by the controller, maneuver patterns from a list of maneuver patterns to generate a ranked list of maneuver patterns, wherein the list comprises an end-of-list NULL entry, which is a specific entry at an end of the list to identify the end of the list;

selecting a maneuver pattern from the ranked list;

in response to a comfort score assigned to the selected maneuver pattern being above a predetermined threshold, executing the maneuver pattern;

subsequent to executing the maneuver pattern, determining whether the maneuver pattern was successful;

selecting and exrcuting a next highest maneuver pattern from the ranked list until detecting the end-of-list NULL entry; and

responsive to detecting the end-of-list NULL entry, lowering the predetermined threshold.

14. The vehicle controller of claim 13 , wherein a maneuver pattern comprises a plurality of trajectories.

15. The vehicle controller of claim 14 , wherein selecting the maneuver pattern comprises determining the comfort score of a first trajectory from the maneuver pattern based on attribute values assigned to the trajectory and local parameters, wherein the local parameters comprise parameters computed for obstacles in a predetermined vicinity surrounding the vehicle.

16. The vehicle controller of claim 15 , the selection of the maneuver further comprises performing a local optimization within the plurality of trajectories to identify a trajectory that satisfies the predetermined threshold for the comfort score.

17. The vehicle controller of claim 13 , wherein the selected maneuver pattern is the highest untried maneuver pattern from the ranked list.

18. The vehicle controller of claim 13 , wherein the determining further comprises, adjusting the predetermined threshold if none of the maneuver patterns from the ranked list meet the predetermined threshold.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 2, 2018
From: FORD, JORDAN; JAFARI TAFTI, SAYYED ROUHOLLAH; MEHDI, SYED B.
To: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Reel/Frame 045407/0629 →
Continuity (1)
Related Publication 20190250617A1 · Aug 15, 2019
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