Road surface friction based predictive driving for computer assisted or autonomous driving vehicles

Patent metadata

Field	Value
Publication number	US-11807243-B2
Application number	US-202217570244-A
Country	US
Kind code	B2
Filing date	Jan 6, 2022
Priority date	Dec 19, 2017
Publication date	Nov 7, 2023
Grant date	Nov 7, 2023

Abstract

Embodiments include apparatuses, methods, and systems for computer assisted or autonomous driving (CA/AD). An apparatus for CA/AD may include a sensor interface, a communication interface, and a driving strategy unit. The sensor interface may receive sensor data indicative of friction between a road surface of a current location of a CA/AD vehicle and one or more surfaces of one or more tires of the CA/AD vehicle. The communication interface may receive, from an external road surface condition data source, data indicative of friction for a surface of a road section ahead of the current location of the CA/AD vehicle. The driving strategy unit may determine, based at least in part on the sensor data and the data received from the external road surface condition data source, a driving strategy for the CA/AD vehicle beyond the current location of the CA/AD vehicle. Other embodiments may also be described and claimed.

First claim

What is claimed is:

1. An apparatus for computer assisted or autonomous driving, comprising:
a sensor interface to receive, from one or more sensors disposed at a vehicle, vehicle data indicative of friction between a road surface of a current location of the vehicle and one or more surfaces of one or more wheels of the vehicle;
a communication interface to receive, from an external data source via a wireless technology, data indicating friction of a surface of a road section ahead of the current location of the vehicle; and
a driving strategy determiner coupled to the sensor interface and the communication interface, the driving strategy determiner to:
determine, based at least in part on the vehicle data and the data received from the external data source, a driving strategy for autonomous or semi-autonomous control of the vehicle, wherein the driving strategy includes an adjustment of a speed of the vehicle, and
autonomously implement the determined driving strategy from the current location to the road section ahead of the current location.

2. The apparatus of claim 1 , wherein the driving strategy further includes performance of one or more vehicle movements.

3. The apparatus of claim 2 , wherein the one or more vehicle movements include one or more of:
an adjustment of a position of the vehicle relative to a driving lane;
an adjustment of a position of the vehicle within a driving lane;
an adjustment of a position of the vehicle across multiple driving lanes;
an adjustment of a choice of a lane among multiple lanes for the vehicle;
an adjustment of a degree of a turn to make for the vehicle; and
an adjustment of an active suspension to tilt the vehicle.

4. The apparatus of claim 1 , wherein the driving strategy further includes an adjustment of an inter-vehicle distance of the vehicle with another vehicle.

5. The apparatus of claim 1 , wherein the driving strategy further includes an alteration of a trajectory of the vehicle.

6. The apparatus of claim 1 , wherein the data indicating the friction of the surface of the road section ahead of the vehicle is based on friction data for the road section experienced by one or more other vehicles reported to the external data source.

7. The apparatus of claim 1 , wherein the communication interface is further to communicate, to the external data source, the vehicle data.

8. The apparatus of claim 1 , wherein the external data source is a cloud computing service.

9. The apparatus of claim 1 , wherein the driving strategy determiner is further to:
autonomously implement the determined driving strategy from the current location through the road section ahead of the current location.

10. The apparatus of claim 1 , wherein the driving strategy determiner is further to:
autonomously implement the determined driving strategy from the current location to the road section ahead of the current location and through a location between the current location and the road section ahead of the current location.

11. The apparatus of claim 1 , wherein the driving strategy determiner is further to:
autonomously implement the determined driving strategy from the current location to the road section ahead of the current location in a manner that attempts to avoid abrupt driving strategy changes.

12. One or more non-transitory computer-readable media (NTCRM) comprising instructions for computer assisted or autonomous driving, wherein execution of the instructions by one or more processors of a computer system is to cause the computer system to:
receive, from one or more vehicle sensors, vehicle data indicating friction between a road surface of a current location of a vehicle and one or more surfaces of one or more wheels of the vehicle;
receive, from an external data source via a wireless technology, data indicating friction of a surface of a road section ahead of the current location of the vehicle;
determine, based at least in part on the vehicle data and the data received from the external data source, a driving strategy for autonomous or semi-autonomous control of the vehicle, wherein the driving strategy includes an adjustment of a speed of the vehicle; and
autonomously implement the determined driving strategy from the current location to the road section ahead of the current location.

13. The one or more NTCRM of claim 12 , wherein the driving strategy further includes performance of one or more vehicle movements.

14. The one or more NTCRM of claim 13 , wherein the one or more vehicle movements include one or more of:
an adjustment of a position of the vehicle relative to a driving lane;
an adjustment of a position of the vehicle within a driving lane;
an adjustment of a position of the vehicle across multiple driving lanes;
an adjustment of a choice of a lane among multiple lanes for the vehicle;
an adjustment of a degree of a turn to make for the vehicle; and
an adjustment of an active suspension to tilt the vehicle.

15. The one or more NTCRM of claim 12 , wherein the driving strategy further includes one or more of:
an adjustment of an inter-vehicle distance of the vehicle with another vehicle; and
an alteration of a trajectory of the vehicle.

16. The one or more NTCRM of claim 12 , wherein the data indicating the friction of the surface of the road section ahead of the vehicle is based on friction data for the road section experienced by one or more other vehicles reported to the external data source.

17. The one or more NTCRM of claim 12 , wherein execution of the instructions is to further cause the computer system to:
send the vehicle data to the external data source.

18. The one or more NTCRM of claim 12 , wherein the external data source is a cloud computing service.

19. The one or more NTCRM of claim 12 , wherein execution of the instructions is to further cause the computer system to:
autonomously implement the determined driving strategy from the current location through the road section ahead of the current location.

20. The one or more NTCRM of claim 12 , wherein execution of the instructions is to further cause the computer system to:
autonomously implement the determined driving strategy from the current location to the road section ahead of the current location and through a location between the current location and the road section ahead of the current location.

21. The one or more NTCRM of claim 12 , wherein execution of the instructions is to further cause the computer system to:
autonomously implement the determined driving strategy from the current location to the road section ahead of the current location in a manner that attempts to avoid abrupt driving strategy changes.

22. A method for computer assisted or autonomous driving, the method comprising:
receiving, by a computing system from one or more vehicle sensors, vehicle data indicating friction between a road surface of a current location of a vehicle and one or more surfaces of one or more wheels of the vehicle;
receive, by the computing system from an external data source via a wireless technology, data indicating friction of a surface of a road section ahead of the current location of the vehicle;
determine, by the computing system based at least in part on the vehicle data and the data received from the external data source, a driving strategy for autonomous or semi-autonomous control of the vehicle, wherein the driving strategy includes an adjustment of a speed of the vehicle; and
autonomously implement, by the

Assignees

• Intel Corp

Inventors

• Nishi Yoshifumi
• Pidwerbecki David
• Browning David
• Macdonald Mark Angus

Classifications

• B60W2552/40

  Coefficient of friction · CPC title

• B60W40/068 Primary

  Road friction coefficient · CPC title

• G05D1/0088 Primary

  characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours (using knowledge based models G06N5/00) · CPC title

• G07C5/008

  communicating information to a remotely located station (transmission systems for measured values G08C) · CPC title

• G07C5/0808

  Diagnosing performance data (testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005) · CPC title