ROBUST VEHICULAR LATERAL CONTROL WITH FRONT AND REAR CAMERAS

• US 20120022739A1
• Filed: 07/20/2010
• Published: 01/26/2012
• Est. Priority Date: 07/20/2010
• 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: Zeng, Shuqing
• Application Number:
  US12/840,058
• Publication Number:
  US 20120022739A1
• Time in Patent Office: Days
• US Class Current: 701/29
• CPC Class Codes: B60W 2420/403 Image sensing, e.g. optical camera
• CPC Class Codes: B60W 30/12 Lane keeping
• CPC Class Codes: B60W 30/165 Automatically following the path of a preceding lead vehicle, e.g. "electronic tow-bar"
• CPC Class Codes: B62D 1/28 non-mechanical , e.g. following a line or other known markers
• CPC Class Codes: B62D 15/025 Active steering aids, e.g. helping the driver by actively influencing the steering system after environment evaluation B62D1/28 takes precedence
• CPC Class Codes: G06V 20/588 Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road

Abstract

A method and system for closed-loop vehicle lateral control, using image data from front and rear cameras and information about a leading vehicle'"'"'s position as input. A host vehicle includes cameras at the front and rear, which can be used to detect lane boundaries such as curbs and lane stripes, among other purposes. The host vehicle also includes a digital map system and a system for sensing the location of a vehicle travelling ahead of the host vehicle. A control strategy is developed which steers the host vehicle to minimize the deviation of the host vehicle'"'"'s path from a lane reference path, where the lane reference path is computed from the lane boundaries extracted from the front and rear camera images and from the other inputs. The control strategy employs feed-forward and feedback elements, and uses a Kalman filter to estimate the host vehicle'"'"'s state variables.

Claims

1. A method for providing lateral control of a host vehicle, said method comprising:

providing image data from a forward-view camera onboard the host vehicle;

providing image data from a rear-view camera onboard the host vehicle;

providing data about a roadway that the host vehicle is travelling on from a digital map system;

providing data about a leading vehicle from a leading vehicle position system onboard the host vehicle, where the leading vehicle is a vehicle ahead of the host vehicle on the roadway; and

computing a steering input needed to control the host vehicle to maintain a path on the roadway using the image data from the forward-view camera and the rear-view camera and the data from the digital map system and the leading vehicle position system, and providing the steering input to a steering actuator in the host vehicle.

2. The method of claim 1 wherein providing image data from a forward-view camera includes providing estimates of position and orientation of the host vehicle with respect to the roadway at a location in front of the host vehicle.

3. The method of claim 1 wherein providing image data from a rear-view camera includes providing estimates of position and orientation of the host vehicle with respect to the roadway at a location behind the host vehicle.

4. The method of claim 1 wherein providing data about a leading vehicle includes providing a longitudinal offset, a lateral offset, and a heading angle of the leading vehicle with respect to the host vehicle.

5. The method of claim 1 wherein computing a steering input needed to control the host vehicle includes computing a feed-forward term based on the image data from the cameras, and the data from the digital map system and the leading vehicle position system.

6. The method of claim 1 wherein computing a steering input needed to control the host vehicle includes computing a feedback linearization term based on vehicle dynamic response parameters.

7. A method for providing lateral control of a host vehicle, said method comprising:

providing image data from a forward-view camera onboard the host vehicle;

providing image data from a rear-view camera onboard the host vehicle;

providing data from vehicle dynamics sensors onboard the host vehicle;

providing data about a roadway that the host vehicle is travelling on from a digital map system;

providing data about a leading vehicle from a leading vehicle position system onboard the host vehicle, where the leading vehicle is a vehicle ahead of the host vehicle on the roadway;

computing a steering input needed to control the host vehicle to maintain a path on the roadway using the image data from the forward-view camera and the rear-view camera and the data from the vehicle dynamics sensors, the digital map system, and the leading vehicle position system;

providing the steering input to a steering actuator in the host vehicle; and

estimating a dynamic response of the host vehicle.

8. The method of claim 7 wherein providing image data from a forward-view camera includes providing estimates of position and orientation of the host vehicle with respect to the roadway at a location in front of the host vehicle.

9. The method of claim 7 wherein providing image data from a rear-view camera includes providing estimates of position and orientation of the host vehicle with respect to the roadway at a location behind the host vehicle.

10. The method of claim 7 wherein providing data from vehicle dynamics sensors includes providing a velocity and a yaw rate for the host vehicle.

11. The method of claim 7 wherein providing data about a leading vehicle includes providing a longitudinal offset, a lateral offset, and a heading angle of the leading vehicle with respect to the host vehicle.

12. The method of claim 7 wherein computing a steering input needed to control the host vehicle includes computing a feed-forward term based on the image data from the cameras, and the data from the vehicle dynamics sensors, the digital map system, and the leading vehicle position system.

13. The method of claim 7 wherein computing a steering input needed to control the host vehicle includes computing a feedback linearization term based on the dynamic response of the vehicle.

14. The method of claim 7 wherein estimating a dynamic response of the host vehicle includes using a Kalman filter routine to estimate a set of state variables for the host vehicle.

15. A system for providing lateral control of a host vehicle, said system comprising:

a first camera for capturing images of a forward view from the host vehicle;

a second camera for capturing images of a rear view from the host vehicle;

a plurality of vehicle dynamics sensors onboard the host vehicle for providing data about motion of the host vehicle;

a digital map for providing information about a roadway on which the host vehicle is being driven;

a leading vehicle position sub-system onboard the host vehicle, said leading vehicle position sub-system providing data about the position of a leading vehicle with respect to the host vehicle; and

a processor configured to receive data from the cameras, the vehicle dynamics sensors, the digital map, and the leading vehicle position sub-system, said processor computing a steering input needed to control the host vehicle to maintain a path on the roadway.

16. The system of claim 15 wherein the images from the first camera and the second camera provide data about locations of lane boundaries of the roadway, including curbs and lane stripes.

17. The system of claim 15 wherein the vehicle dynamics sensors include a velocity sensor and a yaw rate sensor.

18. The system of claim 15 wherein the leading vehicle position sub-system provides a longitudinal offset, a lateral offset, and a heading angle of the leading vehicle with respect to the host vehicle.

19. The system of claim 15 wherein the processor includes a module for estimating a dynamic response of the host vehicle using a Kalman filter routine, and using the dynamic response of the host vehicle in a feedback linearization term which is used to compute the steering input.

20. The system of claim 15 wherein the processor also includes a module for calculating a feed-forward term which is used to compute the steering input.