VEHICLE COLLISION MANAGEMENT SYSTEM RESPONSIVE TO USER-SELECTED PREFERENCES

• US 20150066345A1
• Filed: 08/28/2013
• Published: 03/05/2015
• Est. Priority Date: 08/28/2013
• Status: Abandoned Application

• Current Assignee: Elwha LLC (Intellectual Ventures LLC)
• Original Assignee: Elwha LLC (Intellectual Ventures LLC)
• Inventors: Cheatham, Jesse R. III, Hyde, Roderick A., Jung, Edward K.Y., Kare, Jordin T., Myhrvold, Conor L., Petroski, Robert C., Wood, Lowell L. Jr., Tegreene, Clarence T. Jr.
• Application Number:
  US14/012,695
• Publication Number:
  US 20150066345A1
• Time in Patent Office: Days
• US Class Current: 701/301
• CPC Class Codes: G08G 1/166 for active traffic, e.g. moving vehicles, pedestrians, bikes

Abstract

Described embodiments include a system, method, and vehicle. A system includes a collision management algorithm that includes preferences utilizable in determining a management of a possible collision between a collision-managed vehicle and an external object. A preference includes a vehicle collision management preference inputted by a human user of the collision-managed vehicle. The system includes a damage mitigation circuit configured to determine in at least substantially real time a collision mitigation strategy applicable to the collision-managed vehicle. The collision mitigation strategy is determined in response to (i) the collision management algorithm with the inputted vehicle collision management preference incorporated therein, and (ii) a predicted likelihood of a collision between the collision-managed vehicle and a particular external object. The system includes an instruction generator circuit configured to generate collision management instruction responsive to the determined collision mitigation strategy.

Claims

1. A system comprising:

a computer readable storage media storing a collision management algorithm having a rule-set that includes preferences utilizable in determining a management of a possible collision between a collision-managed vehicle and an external object, a preference of the rule-set includes a vehicle collision management preference inputted by a human user of the collision-managed vehicle;

a damage mitigation circuit configured to determine in at least substantially real time a collision mitigation strategy applicable to the collision-managed vehicle, the collision mitigation strategy determined in response to (i) the collision management algorithm with the inputted vehicle collision management preference incorporated therein, and (ii) a predicted likelihood of a collision between the collision-managed vehicle and a particular external object; and

an instruction generator circuit configured to generate a collision management instruction responsive to the determined collision mitigation strategy.

2. The system of claim 1, wherein the human user includes a driver, owner, or passenger of the collision-managed vehicle.

5. The system of claim 1, wherein the vehicle collision management preference includes personalized rules addressing different types of external objects, maneuvering limits in avoiding external objects, or levels of risk posed by external objects.

6. The system of claim 1, wherein the vehicle collision management preference includes a relative preference of a collision with an inanimate external object over a human being or animal, or a relative preference of a collision with an animal over a human being.

8. The system of claim 1, wherein the vehicle collision management preference includes a relative preference of a collision with one type or category of a human over another type or category of a human.

10. The system of claim 1, wherein the vehicle collision management preference includes a relative preference of a collision with an external object that impacts an impact absorbing zone of the collision-managed vehicle over a collision that impacts a non-impact absorbing zone, or a relative preference of a collision with an external object that impacts a region having a deployable impact absorbing device of the vehicle over a region not having a deployable impact absorbing device.

12. The system of claim 1, wherein the vehicle collision management preference includes a relative preference of a collision impacting a low kinetic energy external object over a high kinetic energy object, or a collision mode having a lower peak impulse flux density over a collision mode having a higher peak impulse flux density.

15. The system of claim 1, wherein the vehicle collision management preference includes a relative preference of a collision mode having lower likelihood of a severe trauma to an occupant of the collision-managed vehicle over a collision mode having a higher likelihood of a severe trauma to the occupant, or of a collision with an external object impacting a region of the collision-managed vehicle occupied by a robust human over a region of the collision-managed vehicle occupied by an at-risk or infirm human.

17. The system of claim 1, wherein the vehicle collision management preference includes a relative preference of a collision causing financial damage below a threshold value to the collision-managed vehicle over hitting an animal.

19. The system of claim 1, wherein the vehicle collision management preference includes a relative preference of a collision impacting a protected occupant over an unprotected occupant, or of a collision adversely impacting an occupant of the collision-managed vehicle over a pedestrian.

21. The system of claim 1, wherein the vehicle collision management preference includes a relative preference of limiting a potential injury to an occupant of the collision-managed vehicle caused by an avoidance maneuver over a potential injury due to a collision with the external object.

22. The system of claim 1, wherein the vehicle collision management preference includes a limit on g-forces imparted to the human user or other occupant of the collision-managed vehicle.

24. The system of claim 1, wherein the vehicle collision management preference includes a preference on maneuvering limits, on acceptable collision severity, on treating personal damage versus property damage, on how to treat different obstacles, or on protection countermeasures.

25. The system of claim 1, wherein the vehicle collision management preference includes a preference responsive to a likelihood of the collision-managed vehicle actually being able to implement the mitigation strategy.

29. The system of claim 1, wherein the vehicle collision management preference includes a vehicle collision management preference stored in a key fob, cellular phone, or RFID tag carryable by the human user.

31. The system of claim 1, wherein the rule-set of the collision mitigation algorithm is further responsive to an extent or difficulty of a maneuver required to prevent a collision with the external object.

32. The system of claim 1, wherein the rule-set of the collision mitigation algorithm is further responsive to a risk of a collision with another external object associated with an avoidance maneuver.

33. The system of claim 1, wherein the rule-set of the collision mitigation algorithm is further responsive to a prioritization among multiple external objects that may potentially be hit.

34. The system of claim 1, wherein the collision mitigation strategy is further determined in response to (iii) data indicative of an environment or situation external to the collision-managed vehicle.

35. The system of claim 1, wherein the instruction generator circuit is further configured to output the collision management instruction to an operations controller of the collision-managed vehicle configured to implement the collision management instruction.

36. The system of claim 35, wherein the operations controller includes a steering controller of the collision-managed vehicle.

37. The system of claim 35, wherein the operations controller includes a braking controller of the collision-managed vehicle.

38. The system of claim 35, wherein the operations controller includes a throttle controller of the collision-managed vehicle.

39. The system of claim 35, wherein the operations controller includes a protective device controller of the collision-managed vehicle.

40. The system of claim 1, further comprising:

a situation circuit configured to predict in at least substantially real time the likelihood of a collision between the collision-managed vehicle and the external object, the prediction responsive to data indicative of an environment or situation external or internal to the collision-managed vehicle.

42. The system of claim 1, further comprising:

a first sensor configured to acquire data indicative of an environment or situation internal to the collision-managed vehicle.

44. The system of claim 1, further comprising:

a second sensor configured to acquire data indicative of an environment or situation external to the collision-managed vehicle.

45. The system of claim 44, wherein the second sensor is configured to acquire data indicative of a human or animal external to the collision-managed vehicle.

47. The system of claim 44, wherein the second sensor is configured to acquire data indicative of another vehicle proximate to the collision-managed vehicle.

49. The system of claim 44, wherein the second sensor is further configured to identify or classify at least one external object proximate to the collision-managed vehicle.

51. The system of claim 1, further comprising:

a reporting system configured to output a human perceivable report indicating an active vehicle collision management preference.

3. (canceled)

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11. (canceled)

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26-28. -28. (canceled)

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43. (canceled)

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52. (canceled)

53. A system comprising:

a damage mitigation circuit configured to determine in at least substantially real time a collision mitigation strategy applicable to a collision-managed vehicle, the collision mitigation strategy determined in response to (i) a collision management algorithm having a rule-set that includes preferences utilizable in determining a best management of a possible collision between the collision-managed vehicle and an external object, (ii) a vehicle collision management preference inputted by a human user of the collision-managed vehicle, and (iii) a predicted likelihood of a collision between the collision-managed vehicle and the external object; and

an instruction generator circuit configured to generate a collision management instruction responsive to the determined collision mitigation strategy.

54. A method implemented in a computing device, the method comprising:

integrating a collision management preference inputted by a human user of a collision-managed vehicle into a rule-set of a collision management algorithm, the rule-set including preferences utilizable in determining a management of a possible collision between the collision-managed vehicle and an external object;

determining in at least substantially real time a collision mitigation strategy applicable to the collision-managed vehicle, the collision mitigation strategy determined in response to (i) the collision management algorithm with the integrated user inputted collision management preference, and (ii) a predicted likelihood of a collision between the collision-managed vehicle and a particular external object; and

generating a collision management instruction responsive to the determined collision mitigation strategy.

55. The method of claim 54, wherein the collision mitigation strategy is further determined in response to data indicative of an environment or situation external or internal to the collision-managed vehicle.

57. The method of claim 54, further comprising:

sensing data indicative of an environment or situation internal to the collision-managed vehicle.

58. The method of claim 54, further comprising:

sensing data indicative of an environment or situation external of the collision-managed vehicle.

59. The method of claim 54, further comprising:

predicting in at least substantially real time the likelihood of a collision between the collision-managed vehicle and the external object, the prediction responsive to data indicative of an environment or situation external or internal to the collision-managed vehicle.

60. The method of claim 54, further comprising:

executing the collision management instruction in the collision-managed vehicle.

56. (canceled)

61. A collision-managed vehicle comprising:

a vehicle operations controller configured to control at least one of a propulsion system, a steering system, or a braking system of the collision-managed vehicle in response to a collision management instruction; and

a collision management system comprising;

a computer readable storage media storing a collision management algorithm having a rule-set that includes preferences utilizable in determining a management of a possible collision between a collision-managed vehicle and an external object, a preference of the rule-set including a vehicle collision management preference inputted by a human user of the collision-managed vehicle;

a damage mitigation circuit configured to determine in at least substantially real time a collision mitigation strategy applicable to the collision-managed vehicle, the collision mitigation strategy determined in response to the collision management algorithm with the inputted vehicle collision management preference incorporated therein; and

an instruction generator circuit configured to generate the collision management instruction responsive to the determined collision mitigation strategy and output the collision management instruction to the vehicle operations controller.

62. The vehicle of claim 61, wherein the collision mitigation strategy is determined in response to a predicted likelihood of a collision between the collision-managed vehicle and a particular external object.

63. The vehicle of claim 61, wherein the collision mitigation strategy is determined in response to data indicative of an environment or situation external or internal to the collision-managed vehicle.

64-66. -66. (canceled)