Vehicle collision management responsive to traction conditions in an avoidance path

• US 9,694,814 B2
• Filed: 11/13/2015
• Issued: 07/04/2017
• Est. Priority Date: 01/21/2014
• Status: Expired due to Fees

• Current Assignee: Elwha LLC (Intellectual Ventures LLC)
• Original Assignee: Elwha LLC (Intellectual Ventures LLC)
• Inventors: Hyde, Roderick A., Petroski, Robert C., Wood, Jr., Lowell L., Duncan, William David
• Primary Examiner(s): Beaulieu, Yonel
• Application Number:
  US14/940,233
• Publication Number:
  US 20160167649A1
• Time in Patent Office: 599 Days
• CPC Class Codes: B60K 35/00 Instruments specially adapted for vehicles; Arrangement of instruments in or on vehicles
• CPC Class Codes: B60W 2552/40 Coefficient of friction
• CPC Class Codes: B60W 30/0953 the prediction being responsive to vehicle dynamic parameters
• CPC Class Codes: B60W 30/0956 the prediction being responsive to traffic or environmental parameters
• CPC Class Codes: Y02T 10/84 Data processing systems or methods, management, administration

Abstract

Described embodiments include a system and a method. A system includes a surface evaluation circuit configured to determine a surface fraction characteristic of at least a portion of a driving surface of a possible collision avoidance path of a vehicle. The system includes a rating circuit configured to assign a risk value to the possible collision avoidance path responsive to the determined surface traction characteristic. The system includes a selector circuit having a rule-set configured to select a collision avoidance path from at least two possible collision avoidance paths in response to an evaluation of the respective assigned risk value for each of the at least two possible collision avoidance paths.

Claims

1. A method comprising:

determining a characteristic of a first adverse circumstance present in a first possible collision avoidance path of a vehicle;

assigning a first risk value to the first possible collision avoidance path responsive to the determined characteristic of the first adverse circumstance;

assigning a first uncertainty to the first risk value;

determining if the first risk value of the first possible collision avoidance path and the first uncertainty in a combination meet a threshold criteria; and

outputting the first possible collision avoidance path as a selected collision avoidance path if the threshold criteria is met.

2. The method of claim 1, wherein the characteristic of the first adverse circumstance includes a characteristic of another vehicle present in the first possible collision avoidance path.

3. The method of claim 2, wherein the characteristic of the another vehicle includes a predicted consequence of a collision between the vehicle and the another vehicle.

4. The method of claim 1, wherein the characteristic of the first adverse circumstance includes a characteristic of at least a portion of an adverse driving surface of the first possible collision avoidance path.

5. The method of claim 1, wherein the characteristic of the first adverse circumstance includes a characteristic of an adverse object present in the first possible collision avoidance path.

6. The method of claim 1, wherein the first risk value is assigned based upon a capability of the vehicle to travel the first possible collision avoidance path.

7. The method of claim 1, wherein the assigned first uncertainty is responsive to a confidence level in the assigned first risk value.

8. The method of claim 1, wherein the assigned first uncertainty is responsive to a three-point estimation technique.

9. The method of claim 1, wherein the assigned first uncertainty includes risk probability distribution.

10. The method of claim 1, wherein the threshold criteria is specified by a driver or occupant of the vehicle, or a manufacturer of the vehicle.

11. The method of claim 1, wherein the threshold criteria is based on a driving experience level of a driver of the vehicle.

12. The method of claim 1, wherein the threshold criteria is based on a current visibility level.

13. The method of claim 1, wherein the threshold criteria is structured to respond to or accommodate at least two different types of risks with a single criteria or factor.

14. The method of claim 1, further comprising:

displaying a human perceivable presentation of an aspect of the selected collision avoidance path.

15. The method of claim 1, further comprising:

initiating an implementation of an aspect of the selected collision avoidance path by a control system of the vehicle.

16. The method of claim 1, further comprising:

generating a collision avoidance instruction responsive to the selected collision avoidance path.

17. The method of claim 1, further comprising:

determining a characteristic of a second adverse circumstance present in a second possible collision avoidance path of the vehicle;

assigning a second risk value to the second possible collision avoidance path responsive to the determined characteristic of the second adverse circumstance;

assigning a second uncertainty to the second risk value;

determining if the second risk value of the second possible collision avoidance path and the second uncertainty in a combination meet the threshold criteria; and

outputting the second possible collision avoidance path as the selected collision avoidance path if the threshold criteria is met.

18. The method of claim 17, wherein the determining includes determining, if the threshold criteria is not met by the first possible collision avoidance path, a characteristic of a second adverse circumstance present in the second possible collision avoidance path of the vehicle.

19. The method of claim 17, further comprising:

displaying a human perceivable presentation of an aspect of the selected collision avoidance path.

20. The method of claim 17, further comprising:

generating a collision avoidance instruction responsive to the selected collision avoidance path.

21. The method of claim 17, further comprising:

initiating an implementation of an aspect of the selected collision avoidance path by a control system of the vehicle.

22. The method of claim 17:

wherein the determining includes comparing the first risk value of the first possible collision avoidance path and the first uncertainty in a combination with respect to the second risk value of the second possible collision avoidance path and the second uncertainty in a combination; and

wherein the outputting includes selecting a collision avoidance path from the first possible collision avoidance path or the second possible collision avoidance path in response to the comparing, and outputting the selected collision avoidance path.

23. A method comprising:

determining a characteristic of a first adverse circumstance present in a first possible collision avoidance path of a vehicle;

assigning a first risk value to the first possible collision avoidance path responsive to the determined characteristic of the first adverse circumstance;

assigning a first uncertainty to the first risk value;

determining a characteristic of a second adverse circumstance present in a second possible collision avoidance path of the vehicle;

assigning a second risk value to the second possible collision avoidance path responsive to the determined characteristic of the second adverse circumstance;

assigning a second uncertainty to the second risk value;

establishing a threshold criteria responsive to a combination of the second risk value of the second possible collision avoidance path and the second uncertainty;

determining if the first risk value of the first possible collision avoidance path and the first uncertainty in a combination meets the threshold criteria; and

outputting the first possible collision avoidance path as a selected collision avoidance path if the threshold criteria is met.

24. The method of claim 23, further comprising:

outputting the second possible collision avoidance path as a selected collision avoidance path if the threshold criteria is not met.