Adaptive road model manager

Patent metadata

Field	Value
Publication number	US-10133274-B2
Application number	US-201615273612-A
Country	US
Kind code	B2
Filing date	Sep 22, 2016
Priority date	Feb 10, 2015
Publication date	Nov 20, 2018
Grant date	Nov 20, 2018

Abstract

Systems and methods are provided for interacting with a plurality of autonomous vehicles. In one implementation, a system may include at least one processor. The at least one processor may be programmed to receive from each of the plurality of autonomous vehicles navigational situation information associated with an occurrence of an adjustment to a determined navigational maneuver, analyze the navigational situation information, determine, based on the analysis of the navigational situation information, whether the adjustment to the determined navigational maneuver was due to a transient condition, and update the predetermined model representative of the at least one road segment if the adjustment to the determined navigational maneuver was not due to a transient condition.

First claim

What is claimed is:

1. A system for interacting with a plurality of autonomous vehicles, the system comprising:
a memory including a predetermined model representative of at least one road segment;
at least one processor programmed to:
receive from each of the plurality of autonomous vehicles navigational situation information associated with an occurrence of an adjustment to a determined navigational maneuver;
analyze the navigational situation information;
determine, based on the analysis of the navigational situation information, whether the adjustment to the determined navigational maneuver was due to a transient condition; and
update the predetermined model representative of the at least one road segment if the adjustment to the determined navigational maneuver was not due to a transient condition.

2. The system of claim 1 , wherein the predetermined model representative of at least one road segment includes a three-dimensional spline representing a predetermined path of travel along the at least one road segment.

3. The system of claim 2 , wherein the update to the predetermined model includes an update to the three-dimensional spline representing a predetermined path of travel along the at least one road segment.

4. The system of claim 1 , wherein the adjustment to a determined navigational maneuver resulted from a user intervention.

5. The system of claim 1 , wherein the adjustment to a determined navigational maneuver resulted from an automatic determination, based on image analysis, of an existence in a vehicle environment of a navigational adjustment condition.

6. The system of claim 1 , wherein the navigational situation information includes at least one image representing an environment of an autonomous vehicle.

7. The system of claim 1 , wherein the navigational situation information includes a video representing an environment of an autonomous vehicle.

8. The system of claim 1 , wherein the transient condition is associated with a parked car, an intervening car, a pedestrian, a low light condition, a glare condition, a temporary barrier, or temporary roadwork.

9. A method for interacting with a plurality of autonomous vehicles, the method comprising:
receiving from each of the plurality of autonomous vehicles navigational situation information associated with an occurrence of an adjustment to a determined navigational maneuver;
analyzing the navigational situation information;
determining, based on the analysis of the navigational situation information, whether the adjustment to the determined navigational maneuver was due to a transient condition; and
updating a predetermined model representative of the at least one road segment if the adjustment to the determined navigational maneuver was not due to a transient condition.

10. The method of claim 9 , wherein the predetermined model representative of at least one road segment includes a three-dimensional spline representing a predetermined path of travel along the at least one road segment.

11. The method of claim 10 , wherein the update to the predetermined model includes an update to the three-dimensional spline representing a predetermined path of travel along the at least one road segment.

12. The method of claim 9 , wherein the adjustment to a determined navigational maneuver resulted from a user intervention.

13. The method of claim 9 , wherein the adjustment to a determined navigational maneuver resulted from an automatic determination, based on image analysis, of an existence in a vehicle environment of a navigational adjustment condition.

14. The method of claim 9 , wherein the navigational situation information includes at least one image representing an environment of an autonomous vehicle.

15. The method of claim 9 , wherein the navigational situation information includes a video representing an environment of an autonomous vehicle.

16. The method of claim 9 , wherein the transient condition is associated with a parked car, an intervening car, a pedestrian, a low light condition, a glare condition, a temporary barrier, or temporary roadwork.

17. A non-transitory computer-readable medium comprising instructions that are executable by at least one processor to cause the at least one processor to perform a method, the method comprising:
receiving from each of the plurality of autonomous vehicles navigational situation information associated with an occurrence of an adjustment to a determined navigational maneuver;
analyzing the navigational situation information;
determining, based on the analysis of the navigational situation information, whether the adjustment to the determined navigational maneuver was due to a transient condition; and
updating the predetermined model representative of the at least one road segment if the adjustment to the determined navigational maneuver was not due to a transient condition.

18. The computer-readable medium of claim 17 , wherein the predetermined model representative of at least one road segment includes a three-dimensional spline representing a predetermined path of travel along the at least one road segment.

19. The computer-readable medium of claim 18 , wherein updating the predetermined model includes an update to the three-dimensional spline representing a predetermined path of travel along the at least one road segment.

20. The computer-readable medium of claim 19 , wherein the transient condition is associated with a parked car, an intervening car, a pedestrian, a low light condition, a glare condition, a temporary barrier, or temporary roadwork.

Assignees

• Mobileye Vision Technologies Ltd

Inventors

• Shashua Amnon
• Gdalyahu Yoram
• Springer Ofer
• Taieb Yoav

Classifications

• G01C21/32

  Structuring or formatting of map data · CPC title

• G01C21/30 Primary

  Map- or contour-matching · CPC title

• B60W2555/60

  Traffic rules, e.g. speed limits or right of way · CPC title

• B62D15/025

  Active steering aids, e.g. helping the driver by actively influencing the steering system after environment evaluation (B62D1/28 takes precedence) · CPC title

• G06T2207/30256

  Lane; Road marking · CPC title