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

Patent metadata

Field	Value
Publication number	US-11267475-B2
Application number	US-202016802140-A
Country	US
Kind code	B2
Filing date	Feb 26, 2020
Priority date	Dec 19, 2017
Publication date	Mar 8, 2022
Grant date	Mar 8, 2022

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 indicative of friction for 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 sensor 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 choice of a lane among multiple lanes for 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 comprises:
an adjustment of a position of the vehicle relative to a driving lane;
an adjustment of an inter-vehicle distance of the vehicle with another vehicle; or
an adjustment of a position across lanes for the vehicle.

3. The apparatus of claim 1 , wherein the data indicative of the friction for the surface of the road section ahead of the vehicle is based on friction of the road section experienced by multiple other vehicles, reported to the external data source.

4. The apparatus of claim 1 , wherein the communication interface is to receive the data indicative of the friction for the surface of the road section ahead of the current location of the vehicle from a cloud server.

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

6. 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.

7. 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.

8. 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.

9. An apparatus for computer assisted or autonomous driving, comprising:
first means for receiving, 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;
second means for receiving, from an external data source via a wireless technology, data indicative of friction for a surface of a road section ahead of the current location of the vehicle;
driving strategy means for:
determining, 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 choice of a lane among multiple lanes for the vehicle; and
autonomously implementing the determined driving strategy from the current location to the road section ahead of the current location.

10. The apparatus of claim 9 , wherein the driving strategy further comprises:
an adjustment of a position of the vehicle relative to a driving lane;
an adjustment of an inter-vehicle distance of the vehicle with another vehicle; or
an adjustment of a position across lanes for the vehicle.

11. The apparatus of claim 9 , wherein the data indicative of the friction for the surface of the road section ahead of the vehicle is based on friction of the road section experienced by multiple other vehicles, reported to the external data source.

12. The apparatus of claim 9 , wherein the second means for receiving receive the data indicative of the friction for the surface of the road section ahead of the current location of the vehicle from a cloud server.

13. The apparatus of claim 9 , further comprising:
means for communicating the vehicle data to the external data source.

14. A method for computer assisted or autonomous driving, the method comprising:
receiving, via a wireless technology, an indication of friction between a road surface of a first location where a first vehicle is in and one or more surfaces of one or more tires of the first vehicle, wherein the first location is located in a road section;
processing the received indication of the friction at the first location for the first vehicle to generate an indication of a friction for a surface of the road section; and
communicating to a second vehicle at a second location, the generated indication of the friction for the surface of the road section for autonomous or semi-autonomous control of the second vehicle, wherein;
the second location is separated from the road section by a distance along a road driving direction, and
the generated indication is for execution of a driving strategy to be calculated by a computing system of the second vehicle, wherein the execution of the driving strategy includes autonomous implementation of the driving strategy from the first location to the second location.

15. The method of claim 14 , further comprising:
receiving an indication of a friction between a road surface of the second location where the second vehicle is in and one or more surfaces of one or more tires of the second vehicle.

16. One or more non-transitory computer-readable media (NTCRM) comprising instructions that cause a computer system, in response to execution of the instructions by the computer system, to:
receive, via a wireless technology, an indication of friction between a road surface of a first location where a first CA/AD vehicle is in and one or more surfaces of one or more tires of the first CA/AD vehicle, wherein the first location is located in a road section;
process the received indication of the friction at the first location for the first CA/AD vehicle to generate an indication of a friction for a surface of the road section for autonomous or semi-autonomous control of one or more CA/AD vehicles; and
communicate to a second CA/AD vehicle at a second location the generated indication of the friction for the surface of the road section, wherein;
the second location is separated from the road section by a distance along a road driving direction, and
the generated indication is for execution of a driving strategy to be calculated by a computing system of the second vehicle, wherein the execution of the driving strategy includes autonomous implementation of the driving strategy from the first location to the second location.

17. The one or more NTCRM of claim 16 , wherein the instructions further cause the computer system to:
receive an indication of a friction between a road surface of the second location where the second vehicle is in and one or more surfaces of one or more tires of the second CA/AD vehicle.

18. One or more non-transi

Assignees

• Intel Corp

Inventors

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

Classifications

• G08G1/096775

  where the origin of the information is a central station · CPC title

• G08G1/09675

  where a selection from the received information takes place in the vehicle · CPC title

• G08G1/096783

  where the origin of the information is a roadside individual element · CPC title

• G08G1/0112

  from the vehicle, e.g. floating car data [FCD] · CPC title

• G08G1/0129

  for creating historical data or processing based on historical data · CPC title