Individualizable Post-Crash Assist System

• US 20120078472A1
• Filed: 09/27/2010
• Published: 03/29/2012
• Est. Priority Date: 09/27/2010
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations Incorporated (Motors Liquidation Co. GUC Trust)
• Inventors: Neal, Mark O., Wang, Jenne-Tai, Vusirikala, Nataraju, Chakraborty, Abir
• Granted Patent: US 8,335,616 B2
• Time in Patent Office: Days
• US Class Current: 701/45
• CPC Class Codes: B60R 25/00 Fittings or systems for preventing or indicating unauthorised use or theft of vehicles locks for vehicles E05B77/00-E05B85/00

Abstract

A method for predicting potential injury assessment for at least one occupant of a vehicle involved in a crash event and for broadcasting assessment of the occupant to a medical response unit. An occupant seated in each seat of a vehicle is detected. Occupant data is obtained relating to physical characteristics of each occupant seated in the vehicle. A crash event involving the vehicle is detected. Vehicle dynamic data and safety restraint data during the crash event is recorded. The potential injury assessment of each occupant is predicted by an injury assessment processing module based on the vehicle dynamic data and safety restraint data obtained during the crash event and the occupant data of each occupant in the vehicle. The corresponding injury assessment of each occupant of the vehicle is broadcast to a medical response unit.

Claims

1. A method for predicting potential injury assessments for occupants of a vehicle involved in a crash event and for broadcasting assessment of each occupant to a medical response unit, the method comprising the steps of:

detecting an occupant seated in each seat of a vehicle;

obtaining occupant data relating to physical characteristics of each occupant seated in the vehicle;

detecting the crash event involving the vehicle;

recording vehicle dynamic data and safety restraint data during the crash event;

predicting the potential injuries assessment of each occupant by a injury assessment processing module based on the vehicle dynamic data and safety restraint data obtained during the crash event and the occupant data of each occupant in the vehicle, the injury assessment processing module outputting the injury assessment of each occupant for evaluation by a medical response unit; and

broadcasting the corresponding injury assessment of each occupant of the vehicle to a medical response unit.

2. The method of claim 1 wherein the injury assessment processing module is remote from the vehicle, wherein the vehicle dynamic data, the safety restraint data, and the occupant data are wirelessly transmitted to the injury assessment processing module for performing the potential injury assessment for each occupant of the vehicle.

3. The method of claim 1 wherein a user pre-uploads to the injury assessment processing module occupant data relating to a respective occupant.

4. The method of claim 1 wherein the occupant data is pre-loaded to the injury assessment processing module, wherein a respective identifier associated with a respective occupant is uploaded to the injury assessment processing module for identifying the respective occupant, wherein the injury assessment processing module associates the occupant data with the respective occupant based on the associated identifier.

5. The method of claim 4 wherein an occupant detection system re-verifies an identity of the respective identified occupant seated in a vehicle seat.

6. The method of claim 1 wherein an occupant detection system automatically obtains physical characteristic data of an unidentified occupant seated in a respective vehicle seat for generating occupant data for the unidentified occupant.

7. The method of claim 1 wherein the injury assessment processing module predicts an injury assessment for each occupant of the vehicle utilizing a statistical based approach, wherein the statistical based approach utilizes historical crash data and analyzes the injury risk of each occupant in cooperation with the vehicle dynamic data, safety restraint data, and occupant data.

8. The method of claim 1 wherein the injury assessment processing module predicts the potential injury assessment of each occupant of the vehicle utilizing a simulation based approach, wherein the simulation based approach utilizes a computer model to simulate the crash event, and predict the potential injury assessment of each occupant in cooperation with the obtained vehicle dynamic data, safety restraint data, and occupant data.

9. The method of claim 1 wherein the simulation based approach utilizes previous simulations to determine the injury assessment of each occupant of the vehicle.

10. The method of claim 1 wherein the simulation based approach executes a simulation of the crash event utilizing the obtained vehicle dynamic data, safety restraint data, and occupant data of the crash event.

11. The method of claim 1 wherein the injury assessment probability module outputs an injury probability assessment map, wherein broadcasting the corresponding assessment information for each occupant of the vehicle to a medical response unit includes providing the injury probability assessment map to the medical response unit.

12. The method of claim 1 wherein the injury assessment probability module predicts an injury assessment for each occupant of the vehicle utilizing a statistical-based approach and a simulation based approach, wherein the statistical based approach is utilized as an initial assessment followed by a comprehensive assessment provided by the simulation based approach.

13. The method of claim 1 wherein the injury assessment probability module predicts an injury assessment for each occupant of the vehicle utilizing a statistical-based approach and a simulation based approach, wherein weighted averages are applied to the injury assessment provided by the statistical based approach and to the injury assessment provided by the simulation based approach for outputting a combined injury assessment.

15. The system of claim 12 wherein the injury assessment processing module is remote from the vehicle, and wherein the electronic control unit wirelessly communicates with the injury assessment processing module to provide vehicle dynamic data, the safety restraint data, and the occupant data.

16. The system of claim 12 wherein the injury assessment processing module is disposed within the vehicle, and wherein the electronic control unit communicates with the injury assessment processing module to provide vehicle dynamic data, the safety restraint data, and the occupant data.

17. The system of claim 12 wherein the input device receives inputs from a user to enter physical characteristics of a respective occupant seated in the vehicle, wherein the entered physical characteristics relating to the respective occupant are stored in a memory for future retrieval by the injury assessment processing module.

18. The system of claim 15 wherein the input device receives an identifier relating to an identification of an occupant seated in the vehicle, wherein the identifier is provided to the injury assessment processing module, wherein the injury assessment processing module associates the identifier with stored physical characteristic data of the occupant.

19. The system of claim 12 further comprising an occupant detection system for obtaining occupant data relating to physical characteristics of an unidentified occupant seated in a respective vehicle seat.

20. The system of claim 12 wherein the injury assessment processing module utilizes a statistical based approach, wherein the statistical based approach generates a statistical assessment of each occupant of the vehicle using historical crash data in cooperation with the obtained vehicle dynamic data, safety restraint data, and occupant data.

21. The system of claim 12 wherein an injury assessment processing module utilizes a simulation based approach, wherein the simulation based approach predicts the potential injury assessment of each occupant in the vehicle by simulating the crash utilizing the vehicle dynamic data, safety restraint data, and occupant data.

22. The system of claim 12 wherein the simulation based approach is a simulation-matching approach, wherein the simulation matching approach utilizes previous simulations to predict the potential injury assessment of each occupant of the vehicle.

14. An automated injury assessment prediction system for a crash event comprising:

a plurality of sensors for obtaining vehicle dynamic data and safety restraint data relating to a crash event;

an electronic control unit for receiving the vehicle dynamic data and the safety related data from the plurality of sensors;

an injury assessment processing module in communication with the electrical control unit, the injury assessment processing module predicting a potential injury assessment for each occupant of the vehicle as a result of the crash event;

an input device for inputting occupant data to the injury assessment processing module, the occupant data relating to physical characteristics of each occupant seated in the vehicle; and

a communication device for notifying a medical response unit of the crash event and for broadcasting the predicted potential injuries of each occupant to a medical response unit;

wherein the injury assessment processing module predicts the potential injuries of each occupant based on the vehicle dynamic data, the safety restraint data, and the occupant data of each occupant in the vehicle.