METHOD AND SYSTEM TO IMPROVE SENSOR ACCURACY FOR ADAS SYSTEMS USING GEOGRAPHICAL INFORMATION

• US 20180105182A1
• Filed: 10/13/2016
• Published: 04/19/2018
• Est. Priority Date: 10/13/2016
• Status: Abandoned Application

• Current Assignee: Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Original Assignee: Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Inventors: Kim, BaekGyu, Kashiba, Yusuke, Shiraishi, Shinichi
• Application Number:
  US15/293,245
• Publication Number:
  US 20180105182A1
• Time in Patent Office: Days
• CPC Class Codes: B60W 2556/20 Data confidence level
• CPC Class Codes: B60W 2556/65 Data transmitted between vehicles
• CPC Class Codes: G01S 13/86 Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
• CPC Class Codes: G01S 13/931 of land vehicles
• CPC Class Codes: G01S 19/14 specially adapted for specific applications
• CPC Class Codes: G01S 19/42 Determining position
• CPC Class Codes: G01S 19/48 by combining or switching between position solutions derived from the satellite radio beacon positioning system and position solutions derived from a further system
• CPC Class Codes: G01S 5/01 Determining conditions which influence positioning, e.g. radio environment, state of motion or energy consumption

Abstract

The disclosure includes embodiments for estimating whether local sensor data or remote sensor data is more accurate for a given geographical location of an ego vehicle. A method may include determining, based on Global Positioning System data (“GPS data”), whether the ego vehicle is located in a geographical region where local sensor data or remote sensor data is more accurate. The method may include retrieving a set of sensor data from a non-transitory memory. The set of sensor data may consist of the more accurate of the local sensor data and the remote sensor data. The method may include inputting the set of sensor data to the ADAS system. The method may include executing the ADAS system so that the ADAS system provides its functionality based on the set of sensor data that consists of the more accurate of the local sensor data and the remote sensor data.

Claims

1. A method for an ego vehicle including an Advanced Driving Assistance System (“

an ADAS system”

), the method comprising;

determining, based on Global Positioning System data (“

GPS data”

), whether the ego vehicle is located in a geographical region where local sensor data or remote sensor data is more accurate;

retrieving a set of sensor data from a non-transitory memory, wherein the set of sensor data consists of the more accurate of the local sensor data and the remote sensor data;

inputting the set of sensor data to the ADAS system; and

executing the ADAS system so that the ADAS system provides its functionality based on the set of sensor data that consists of the more accurate of the local sensor data and the remote sensor data.

2. The method of claim 1, wherein the remote sensor data is transmitted to the ego vehicle by a remote vehicle.

3. The method of claim 1, wherein the remote sensor data is transmitted to the ego vehicle by a Roadside Unit (“

an RSU”

).

4. The method of claim 1, wherein the remote sensor data is transmitted to the ego vehicle via a wireless message that is compliant with a Dedicated Short Range Communication (“

DSRC”

) standard.

5. The method of claim 1, wherein the remote sensor data is transmitted to the ego vehicle via a full-duplex wireless message.

6. The method of claim 1, wherein the remote sensor data is transmitted to the ego vehicle via a millimeter wave message.

7. The method of claim 1, wherein the GPS data is retrieved by a DSRC-compliant GPS unit.

8. The method of claim 1, wherein the GPS data has an accuracy of substantially plus or minus 1.5 meters of the actual location of the ego vehicle.

9. A system including an ego vehicle, the ego vehicle comprising:

an ADAS system; and

an onboard vehicle computer system that is communicatively coupled to the ADAS system, the onboard vehicle computer system including a non-transitory memory storing computer code which, when executed by the onboard vehicle computer system causes the onboard vehicle computer system to;

determine, based on GPS data describing a geographical location of the ego vehicle, whether the ego vehicle is located in a geographical region where local sensor data or remote sensor data is more accurate;

retrieving a set of sensor data from the non-transitory memory, wherein the set of sensor data consists of the more accurate of the local sensor data and the remote sensor data;

inputting the set of sensor data to the ADAS system; and

executing the ADAS system so that the ADAS system provides its functionality based on the set of sensor data that consists of the more accurate of the local sensor data and the remote sensor data.

10. The system of claim 9, wherein the remote sensor data is transmitted to the ego vehicle by a remote vehicle.

11. The system of claim 9, wherein the remote sensor data is transmitted to the ego vehicle by an RSU.

12. The system of claim 9, wherein the remote sensor data is transmitted to the ego vehicle via a wireless message that is compliant with a DSRC standard.

13. The system of claim 9, wherein the remote sensor data is transmitted to the ego vehicle via a full-duplex wireless message.

14. The system of claim 9, wherein the remote sensor data is transmitted to the ego vehicle via a millimeter wave message.

15. The system of claim 9, wherein the remote sensor data is transmitted to the ego vehicle via a wireless network.

16. The system of claim 9, wherein the GPS data has an accuracy of substantially plus or minus 1.5 meters of the actual location of the ego vehicle.

17. A computer program product comprising a non-transitory memory of an onboard vehicle computer system of an ego vehicle storing computer-executable code that, when executed by a processor, causes the processor to:

determine, based on GPS data describing a geographical location of the ego vehicle, whether the ego vehicle is located in a geographical region where local sensor data or remote sensor data is more accurate;

retrieving a set of sensor data from the non-transitory memory, wherein the set of sensor data consists of the more accurate of the local sensor data and the remote sensor data;

input the set of sensor data to an ADAS system of the ego vehicle; and

executing the ADAS system so that the ADAS system provides its functionality based on the set of sensor data that consists of the more accurate of the local sensor data and the remote sensor data.

18. The computer program product of claim 17, wherein the remote sensor data is transmitted to the ego vehicle by a remote vehicle.

19. The computer program product of claim 17, wherein the remote sensor data is generated by a sensor set of a remote vehicle.

20. The computer program product of claim 17, wherein the local sensor data is generated by a sensor set of the ego vehicle.