Vehicle emergency warning and control system

• US 6,114,976 A
• Filed: 02/05/1999
• Issued: 09/05/2000
• Est. Priority Date: 02/05/1999
• Status: Expired due to Term

• Current Assignee: The Boeing Co.
• Original Assignee: The Boeing Co.
• Inventors: Vian, John Lyle
• Primary Examiner(s): Lee, Benjamin C.
• Application Number:
  US09/245,957
• Time in Patent Office: 578 Days
• Field of Search: 340/945, 340/963, 340/903, 701/36, 701/1, 701/59, 701/27, 701/41, 395/22, 395/23, 395/905, 395/906, 395/21, 395/24, 703/3, 244/122 A, 244/141, 244/122 R, 706/23, 706/905
• US Class Current: 340/945
• CPC Class Codes: B64D 25/10 Ejector seats

Abstract

An automatic vehicle warning and control program is provided for determining if safety enhancing actions are appropriate. The on-line determination of an action that results in a preferred outcome (e.g., aircraft ejection) is made using a neural network controller. The neural network controller is trained off-line using appropriate preferred outcome data obtained via computer simulation or experimentation. Appropriate actions are established for all conceivable sets of vehicle conditions. On-line, the neural network controller uses actual sensed vehicle conditions to determine the appropriate action. Various actions can be performed based on the preferred outcome determination. Appropriate actions can include commanding audible and visual warnings, guidance cues, automatic vehicle control, and aircraft automatic ejection.

Claims

1. A method for performing vehicle emergency and control functions comprising:

(a) using an off-line process to create a neural network comprising a plurality of acceptable preferred outcome decisions based on the state of the vehicle;

(b) implementing the neural network as a controller; and

(c) using the controller during an on-line operation of the vehicle to make a preferred outcome determination based on current state of the vehicle.

2. The method of claim 1, further comprising performing a function based on the preferred outcome determination.

3. The method of claim 2, wherein an emergency egress function is performed if the preferred outcome determination is that emergency egress is acceptable.

4. The method of claim 3, wherein the emergency egress function is automatic ejection from the vehicle.

5. The method of claim 3, wherein the emergency egress function is the output of a warning.

6. The method of claim 2, wherein an emergency egress not acceptable function is performed if the preferred outcome determination is that emergency egress is not acceptable.

7. The method of claim 6, wherein the emergency egress not acceptable function is the output of a warning.

8. The method of claim 2, wherein a vehicle saving function is performed if the preferred outcome determination is that the vehicle can be saved.

9. The method of claim 8, wherein the vehicle saving function is the output of a warning, or instructions to an operator or to a flight system.

10. The method of claim 1, wherein using an off-line process to create a neural network comprises:

(a) obtaining a set of vehicle conditions;

(b) simulating a vehicle systems operation;

(c) making the preferred outcome determination for the set of vehicle conditions; and

(d) storing the preferred outcome determination for the set of vehicle conditions.

11. The method of claim 10, further comprising performing (a)-(d) for a plurality of vehicle conditions.

12. A system for performing vehicle emergency and control functions, comprising:

(a) a processing unit; and

(b) a storage medium coupled to the processing unit, the storage medium storing program code implemented by the processing unit for;

(i) using an off-line process to create a neural network comprising a plurality of preferred outcome decisions based on the state of the vehicle;

(ii) implementing the neural network as a controller; and

(iii) using the controller during an on-line operation of the vehicle, to make a preferred outcome determination based on current state of the vehicle.

13. The system of claim 12, wherein the program code implemented by the processing unit further performs a function based on the preferred outcome determination.

14. The system of claim 13, wherein an emergency egress function is performed if the preferred outcome determination is that emergency egress is acceptable.

15. The system of claim 14, wherein the emergency egress function is automatic ejection from the vehicle.

16. The system of claim 14, wherein the emergency egress function is the output of a warning.

17. The system of claim 13, wherein an emergency egress not acceptable function is performed if the preferred outcome determination is that emergency egress is not acceptable.

18. The system of claim 17, wherein the emergency egress not acceptable function is the output of a warning.

19. The system of claim 13, wherein a vehicle saving function is performed if the preferred outcome determination is that the vehicle can be saved.

20. The system of claim 19, wherein the vehicle saving function is the output of a warning, or instruction to an operator or to a flight system.

21. The system of claim 12, wherein using an off-line process to create a neural network comprises:

(a) obtaining a set of vehicle conditions;

(b) simulating a vehicle systems operation;

(c) making the preferred outcome determination for the set of vehicle conditions; and

(d) storing the preferred outcome determination for the set of vehicle conditions.

22. The system of claim 21, further comprising performing (a)-(d) for a plurality of vehicle conditions.