US 11,807,243 B2
Road surface friction based predictive driving for computer assisted or autonomous driving vehicles
Yoshifumi Nishi, Beaverton, OR (US); David Pidwerbecki, Hillsboro, OR (US); David Browning, Portland, OR (US); and Mark Angus MacDonald, Beaverton, OR (US)
Assigned to Intel Corporation, Santa Clara, CA (US)
Filed by Intel Corporation, Santa Clara, CA (US)
Filed on Jan. 6, 2022, as Appl. No. 17/570,244.
Application 17/570,244 is a continuation of application No. 16/802,140, filed on Feb. 26, 2020, granted, now 11,267,475.
Application 16/802,140 is a continuation of application No. 15/847,591, filed on Dec. 19, 2017, granted, now 10,576,986, issued on Mar. 3, 2020.
Prior Publication US 2022/0126835 A1, Apr. 28, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. B60W 40/06 (2012.01); G08G 1/01 (2006.01); G05D 1/00 (2006.01); G08G 1/09 (2006.01); G07C 5/00 (2006.01); B60W 40/068 (2012.01); G08G 1/0967 (2006.01); G07C 5/08 (2006.01)
CPC B60W 40/068 (2013.01) [G05D 1/0088 (2013.01); G07C 5/008 (2013.01); G07C 5/0808 (2013.01); G08G 1/0112 (2013.01); G08G 1/096725 (2013.01); G08G 1/096775 (2013.01); B60W 2552/40 (2020.02); B60W 2556/45 (2020.02); B60W 2556/50 (2020.02); B60W 2756/10 (2020.02); G05D 2201/0213 (2013.01)] 31 Claims
OG exemplary drawing
 
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.
 
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.
 
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 computing system, the determined driving strategy from the current location to the road section ahead of the current location.