ADAPTIVE VEHICLE CONTROL SYSTEM WITH DRIVING STYLE RECOGNITION AND ROAD CONDITION RECOGNITION

• US 20100019964A1
• Filed: 07/24/2008
• Published: 01/28/2010
• Est. Priority Date: 07/24/2008
• Status: Abandoned Application

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations Incorporated (Motors Liquidation Co. GUC Trust)
• Inventors: Huang, Jihua, Chin, Yuen-Kwok, Lin, William C.
• Application Number:
  US12/179,250
• Publication Number:
  US 20100019964A1
• Time in Patent Office: Days
• US Class Current: 342/357.310
• CPC Class Codes: G01M 17/06 Steering behaviour; Rolling behaviour
• CPC Class Codes: G01S 13/931 of land vehicles
• CPC Class Codes: G01S 2013/9316 combined with communication equipment with other vehicles or with base stations
• CPC Class Codes: G01S 2013/9318 Controlling the steering
• CPC Class Codes: G01S 2013/93185 Controlling the brakes
• CPC Class Codes: G01S 2013/9319 Controlling the accelerator
• CPC Class Codes: G01S 2013/932 using own vehicle data, e.g. ground speed, steering wheel direction
• CPC Class Codes: G01S 2013/9322 using additional data, e.g. driver condition, road state or weather data
• CPC Class Codes: G01S 2013/9323 Alternative operation using light waves
• CPC Class Codes: G01S 2013/9325 for inter-vehicle distance regulation, e.g. navigating in platoons
• CPC Class Codes: G01S 2013/93271 in the front of the vehicles
• CPC Class Codes: G01S 2013/93272 in the back of the vehicles
• CPC Class Codes: G01S 2013/93274 on the side of the vehicles

Abstract

An adaptive vehicle control system that classifies a driver'"'"'s driving style based on characteristic maneuvers and road and traffic conditions. The system includes a plurality of vehicle sensors that detect various vehicle parameters. A maneuver identification processor receives the sensor signals to identify a characteristic maneuver of the vehicle and provides a maneuver identifier signal of the maneuver. The system also includes a road condition recognition processor that receives the sensor signals, and provides road condition signals identifying road conditions. A style characterization processor receives the maneuver identifier signals, sensor signals from the vehicle sensors and the road condition signals, and classifies driving style based on the signals to classify the style of the driver driving the vehicle.

Claims

1. A system for classifying a driver'"'"'s driving style of a vehicle, said system comprising:

a plurality of vehicle sensors providing sensor measurement signals;

a road condition recognition processor responsive to the sensor signals, said road condition recognition processor providing road condition signals identifying road conditions; and

a style characterization processor responsive to maneuver identifier signals, the sensor measurement signals and the road condition signals, said style characterization processor classifying driving style based on the signals and providing driver style classification signals that identify the type of driver driving the vehicle.

2. The system according to claim 1 further comprising a vehicle position processor responsive to the sensor signals and location signals, said vehicle position processor outputting vehicle position signals to the road condition recognition processor to incorporate vehicle position in the road condition signals.

3. The system according to claim 2 wherein the vehicle position processor receives information about vehicle position from a global positioning system and/or an electronic digital map.

4. The system according to claim 1 further comprising a surround sensing processor providing surround fusion signals to the road condition recognition processor so as to enhance the road condition signals.

5. The system according to claim 1 further comprising a vehicle-to-structure communications system providing communications signals to the road condition recognition processor so as to enhance the traffic and road condition signals.

6. The system according to claim 1 wherein the roadway condition signals include roadway conditions for roadway type, roadway surface and ambient conditions.

7. The system according to claim 6 wherein the roadway type is identified for each of an urban freeway, a rural freeway, an urban local road, a rural local road and other roadway types.

8. The system according to claim 6 wherein the roadway surface is identified as surfaces with various levels of friction coefficient and various degrees of roughness.

9. The system according to claim 6 wherein the ambient conditions include ambient light level.

10. The system according to claim 6 wherein the ambient conditions include the presence of rain or snow.

11. The system according to claim 6 wherein the ambient conditions include fog detection.

12. The system according to claim 11 wherein the plurality of vehicle sensors include a forward-looking camera or lidar, said forward-looking camera or lidar providing images for detecting the fog.

13. A system for classifying a drivers driving style of a vehicle, said system comprising:

a plurality of vehicle sensors providing sensor measurement signals, said sensors including a global positioning system and a camera;

a road condition recognition processor responsive to the sensor signals, said road condition recognition processor providing road condition signals identifying road conditions that include roadway type, roadway surface and ambient conditions; and

a style characterization processor responsive to the sensor measurement signals and the road condition signals, said style characterization processor classifying driving style based on the signals and providing driver style classification signals that identify the type of driver driving the vehicle.

14. The system according to claim 13 wherein the roadway type is identified for each of an urban freeway, a rural freeway, an urban local road, a rural local road and other roadway types.

15. The system according to claim 13 wherein the roadway surface is identified as surfaces with various levels of friction coefficient and various degrees of roughness.

16. The system according to claim 13 wherein the ambient conditions include ambient light level.

17. The system according to claim 13 wherein the ambient conditions include the presence of rain or snow.

18. The system according to claim 13 wherein the ambient conditions include fog detection.

19. A method for classifying a driver'"'"'s driving style of a vehicle, said method comprising:

providing sensor measurement signals from a plurality of vehicle sensors;

providing road condition signals identifying road conditions; and

classifying the driver style using the road condition signals and the sensor signals to identify the type of driver driving the vehicle.

20. The method according to claim 19 wherein providing road condition signals includes providing road condition signals for roadway type, roadway surface and ambient conditions.

21. The method according to claim 20 wherein providing roadway type signals includes identifying each of an urban freeway, a rural freeway, an urban local road, a rural local road and other roadway types.

22. The method according to claim 20 where identifying the roadway surface includes identifying surfaces with various levels of friction coefficient and various degrees of roughness.

23. The method according to claim 20 where identifying ambient conditions includes identifying ambient light level, the presence of rain or snow and the presence of fog.