Methods and systems for proactively estimating road surface friction coefficient

Patent metadata

Field	Value
Publication number	US-10106168-B2
Application number	US-201715443975-A
Country	US
Kind code	B2
Filing date	Feb 27, 2017
Priority date	Feb 27, 2017
Publication date	Oct 23, 2018
Grant date	Oct 23, 2018

Abstract

Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: Systems and method are provided for controlling a first vehicle. In one embodiment, a method of determining road surface information for a first vehicle at a vehicle location includes: obtaining a first value of a friction coefficient for a road surface; obtaining environmental data at the vehicle location; calculating a second value of the friction coefficient based on the first value and based on the environmental data at the vehicle location; and controlling the first vehicle based on the second value.

First claim

What is claimed is:

1. A method of determining road surface information for a first vehicle at a vehicle location, the method comprising:
obtaining a first value of a friction coefficient for a road surface;
obtaining environmental data at the vehicle location, wherein obtaining environmental data includes measuring an acceleration of a second vehicle using a sensor system at the first vehicle;
calculating a second value of the friction coefficient based on the first value and based on the environmental data at the vehicle location; and
controlling the first vehicle based on the second value.

2. The method of claim 1 , wherein calculating the second value includes estimating a minimum road surface friction value based on the acceleration of the second vehicle.

3. The method of claim 1 , further comprising transmitting the second value to a communication network that is external to the first vehicle for a subsequent vehicle to use as the first value.

4. The method of claim 1 , wherein controlling the first vehicle includes planning a path and controlling vehicle motion for autonomous driving.

5. The method of claim 1 , wherein obtaining environmental data includes retrieving a weather report at the vehicle location using a communication network.

6. The method of claim 1 , wherein obtaining the first value includes retrieving the first value from a communication network based on the vehicle location.

7. The method of claim 1 , wherein obtaining environmental data includes measuring an outside ambient weather conditions.

8. The method of claim 1 , wherein obtaining environmental data includes inferring whether precipitation is present based on a status of a windshield wiper system.

9. A system for controlling a vehicle, the system comprising:
an initial friction coefficient module configured to obtain a first value of a friction coefficient for a road surface;
an environmental data module configured to obtain environmental data at a location, wherein the environmental data module is configured to obtain the environmental data at least in part by measuring an acceleration of a second vehicle using a sensor system at the vehicle; and
a coefficient adjustment module configured to calculate a second value of the friction coefficient based on the first value and based on the environmental data at the location.

10. The system of claim 9 , further comprising a vehicle control module configured to control the vehicle based on the second value.

11. The system of claim 10 , wherein the vehicle control module is further configured to control the vehicle by planning a path and controlling vehicle motion for autonomous driving of the vehicle based on the second value.

12. The system of claim 9 , wherein the coefficient adjustment module is further configured to calculate the second value based at least in part on estimating a minimum road surface friction value using the acceleration of the second vehicle.

13. The system of claim 9 , wherein the coefficient adjustment module is further configured to transmit the second value to a communication network that is external to the vehicle for a subsequent vehicle to use as the first value.

14. The system of claim 9 , wherein the environmental data module is configured to obtain the environmental data at least in part by retrieving a weather report at the location using a communication network.

15. The system of claim 9 , wherein the initial friction coefficient module is configured to obtain the first value by retrieving the first value from a communication network based on the location.

16. An autonomous vehicle, comprising:
a sensor system configured to collect environmental data external to the autonomous vehicle; and
a control system comprising:
an initial friction coefficient module configured to obtain a first value of a friction coefficient for a road surface;
a coefficient adjustment module configured to calculate a second value of the friction coefficient based on the first value and based on the environmental data, wherein the coefficient adjustment module is further configured to calculate the second value based at least in part on estimating a minimum road surface friction value using an acceleration of a second vehicle; and
a vehicle control module configured to control the autonomous vehicle by planning a path for autonomous driving of the autonomous vehicle based on the second value.

17. The autonomous vehicle of claim 16 , wherein the coefficient adjustment module is further configured to transmit the second value to a communication network that is external to the autonomous vehicle for a subsequent vehicle to use as the first value.

Assignees

• Gm Global Tech Operations Llc

Inventors

• Shami Constandi J
• Twarog Christopher J

Classifications

• B60W2556/50

  of positioning data, e.g. GPS [Global Positioning System] data · CPC title

• B60W2555/20

  Ambient conditions, e.g. wind or rain · CPC title

• B60W2556/65

  Data transmitted between vehicles · CPC title

• B60W2552/40

  Coefficient of friction · CPC title

• B60W40/068 Primary

  Road friction coefficient · CPC title