METHODS OF IMPROVING PERFORMANCE OF AUTOMOTIVE INTERSECTION TURN ASSIST FEATURES

• US 20170113683A1
• Filed: 10/27/2015
• Published: 04/27/2017
• Est. Priority Date: 10/27/2015
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: Elvitigala, Thanura Ranmal, MUDALIGE, UPALI PRIYANTHA
• Granted Patent: US 9,688,273 B2
• Time in Patent Office: Days
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 2556/55 using telemetry
• CPC Class Codes: B60W 30/08 Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
• CPC Class Codes: B60W 30/0953 the prediction being responsive to vehicle dynamic parameters
• CPC Class Codes: B60W 30/0956 the prediction being responsive to traffic or environmental parameters
• CPC Class Codes: B60W 30/18145 Cornering

Abstract

A system and method for warning a vehicle driver of a potential collision when turning left or right at or near an intersection, where the system and method provide additional analysis to limit false positive and false negative warnings based on specialized circumstances. The method includes determining if the host vehicle is likely to turn at or near the intersection, and obtaining speed, velocity and position data of the host vehicle and any relevant remote vehicles. The method determines a predicted path of the host vehicle and the remote vehicles based on the speed, velocity and position data, and issues a warning to a driver of the host vehicle if the host vehicle and one of the remote vehicles may collide based on the predicted paths. If the host vehicle is in a specialized circumstance, the method provides additional collision analysis to reduce false positive warnings and/or false negative warnings.

Claims

1. A method for collision threat assessment on a host vehicle traveling on a roadway, said method comprising:

determining if the host vehicle is likely to turn at or near an intersection with a predetermined level of confidence;

obtaining velocity and position data of the host vehicle using sensors onboard the host vehicle;

obtaining velocity and position data of one or more remote vehicles or other objects at or near the intersection;

determining, using a processor in a controller, a predicted path of the host vehicle based on the velocity and position data, along with yaw rate or road wheel angle of the host vehicle;

determining, using the processor, a predicted path of one or more of the remote vehicles based on the velocity and position data;

issuing a warning to a driver of the host vehicle, by the controller, if the host vehicle and one of the remote vehicles may collide based on the predicted paths; and

providing, using the processor, additional collision analysis to reduce false positive warnings and false negative warnings for specialized host vehicle circumstances.

2. The method according to claim 1 wherein determining if a host vehicle is likely to turn at or near an intersection includes determining that the host vehicle is making a lane change.

3. The method according to claim 2 wherein determining that the host vehicle is making a lane change includes one or more of:

providing data and information from a map database including number of travel lanes on the roadway, determining whether the host vehicle is in an inside lane or an outside lane of the roadway, determining whether opposing traffic is in an adjacent lane to a travel lane of the host vehicle, determining whether same direction traffic is an adjacent lane to the travel lane of the host vehicle, identifying roadway curbs, identifying lane markings provided by cameras on the vehicle, and identifying proximity of the host vehicle to the intersection.

4. The method according to claim 1 wherein providing additional collision analysis to reduce false positive warnings and false negative warnings includes determining that the host vehicle is entering a left turn lane by identifying type and color of roadway lane markings.

5. The method according to claim 1 wherein providing additional collision analysis to reduce false positive warnings and false negative warnings includes adjusting a distance parameter from the intersection that initiates the collision assessment method so as to reduce false positive warnings as a result of the host vehicle turning into a driveway before the intersection.

6. The method according to claim 1 wherein determining whether the host vehicle is a making a turn at or near the intersection includes determining whether the host vehicle is slowing down when other vehicles are not in front of the host vehicle.

7. The method according to claim 1 wherein providing additional collision analysis to reduce false positive warnings and false negative warnings includes preventing the warning from being issued and providing collision information only if the host vehicle is unable to detect a stop sign or traffic signal at the intersection.

8. The method according to claim 1 wherein providing additional collision analysis to reduce false positive warnings and false negative warnings includes providing information that sensors on the host vehicle have been blocked by objects when the host vehicle is traveling near the intersection.

9. The method according to claim 1 wherein providing additional collision analysis to reduce false positive warnings and false negative warnings includes identifying type and color of lane markings on the roadway.

11. The method according to claim 1 wherein obtaining velocity and position data of the host vehicle and the one or more remote vehicles includes using information and data from one or more of a map database, a long range radar sensor on the vehicle, a short range radar sensor on the vehicle, cameras on the vehicle, lidar sensors on the vehicle, V2X communications, Internet communications and satellite communications.

12. The method according to claim 1 wherein determining if the host vehicle is likely to turn at or near an intersection includes using information and data from one or more of turn signal activity, a map database, a long range radar sensor on the vehicle, a short range radar sensor on the vehicle, cameras on the vehicle, lidar sensors on the vehicle, V2X communications, Internet communications and satellite communications.

10. (canceled)

13. A method for determining whether a host vehicle traveling on a roadway is turning at an intersection or driveway or making a lane change, said method comprising:

obtaining velocity and position data of the host vehicle using sensors onboard the host vehicle;

determining, using a processor in a controller, a predicted path of the host vehicle based on the velocity and position data, along with yaw rate or road wheel angle of the host vehicle; and

determining, using the processor, whether the host vehicle is turning at the intersection or driveway or making a lane change based on the data and the predicted path.

14. The method according to claim 13 wherein obtaining position data of the host vehicle includes determining whether the host vehicle is traveling along an inside lane or an outside lane of the roadway, and wherein determining whether the host vehicle is turning at the intersection or driveway or making a lane change includes determining that the vehicle is turning if the vehicle is traveling in the inside lane and determining that the vehicle is changing lanes if the vehicle is traveling in the outside lane.

15. The method according to claim 14 wherein determining whether the host vehicle is traveling along an inside lane or an outside lane of the roadway includes using one or more of a map database, identification of type and color of lane markings, identification of roadway curbs, detection of opposing traffic in an adjacent lane, detection of same direction traffic in an adjacent lane, and detection of a center turn lane.

16. The method according to claim 13 wherein determining whether the host vehicle is turning at the intersection or driveway or making a lane change includes identifying type and color of lane markings on the roadway.

18. The method according to claim 13 wherein obtaining velocity and position data of the host vehicle includes using information and data from one or more of a map database, a long range radar sensor on the vehicle, a short range radar sensor on the vehicle, cameras on the vehicle, lidar sensors on the vehicle, V2X communications, Internet communications and satellite communications.

17. (canceled)

19. A system for collision threat assessment for a host vehicle traveling on a roadway, said system comprising:

means for determining if the host vehicle is likely to turn at or near an intersection with a predetermined level of confidence;

sensors onboard the host vehicle for obtaining velocity and position data of the host vehicle;

means for obtaining velocity and position data of one or more remote vehicles or other objects'"'"' at or near the intersection; and

a controller including a processor configured with instructions for;

determining a predicted path of the host vehicle based on the velocity and position data, along with yaw rate or road wheel angle of the host vehicle;

determining a predicted path of one or more of the remote vehicles based on the velocity and position data;

issuing a warning to a driver of the host vehicle if the host vehicle and one of the remote vehicles may collide based on the predicted paths; and

providing additional collision analysis to reduce false positive warnings and false negative warnings for specialized host vehicle circumstances.

20. The system according to claim 19 wherein providing additional collision analysis to reduce false positive warnings and false negative warnings includes determining that the host vehicle is entering a left turn lane by identifying type and color of roadway lane markings.