IP Library Granted Patent US 10,933,881
Granted Patent B1
US 10,933,881 · App. 16/599,602 · Granted Mar 2, 2021

System for adjusting autonomous vehicle driving behavior to mimic that of neighboring/surrounding vehicles

Inventors: Leo Nelson Chan (Normal, IL); Kristopher Keith Gaudin (Bloomington, IL); Roxane Lyons (Chenoa, IL); William J. Leise (Normal, IL); John A. Nepomuceno (Victoria, CA); Rajiv C. Shah (Bloomington, IL); Edward P. Matesevac, III (Normal, IL); Jennifer Criswell Kellett (Phoenix, AZ); Steven Cielocha (Bloomington, IL); Jeremy Myers (Normal, IL); Matthew S. Megyese (Bloomington, IL); Jennifer L. Crawford (Normal, IL)
Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
B60W40/09G06K9/00825G06Q40/08G08G1/0112G08G1/096791G09B19/167B60T2220/02B60W2540/30F16H2059/003
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Quick Facts
Patent No.
US 10,933,881
App. No.
16/599,602
Granted
Mar 2, 2021
Kind
B1
Abstract

Systems and methods are disclosed for adjusting autonomous vehicle driving behavior. A controller of the autonomous vehicle may utilize an aggression factor to adjust control of the autonomous vehicle. The autonomous vehicle may detect one or more characteristics of proximate vehicles, analyze the one or more characteristics to estimate an aggression level of the proximate vehicles, and adjust the aggression factor based on the estimated aggression level.

Claims (24)

1. A computer system for controlling an autonomous vehicle, the system comprising:

a sensor mounted to an autonomous vehicle to capture first data associated with a first proximate vehicle, and second data associated with a second proximate vehicle; and

a controller for the autonomous vehicle configured to:

analyze the first data to estimate a first aggression level of the first proximate vehicle, the first aggression level representing a first combination of a first rate of acceleration, and a first rate of turning of the first proximate vehicle;

analyze the second data to estimate a second aggression level of the second proximate vehicle, the second aggression level representing a second combination of a second rate of acceleration, and a second rate of turning of the second proximate vehicle;

combine the first aggression level and the second aggression level to determine an average aggression level; and

control a third combination of a third rate of acceleration, and a third rate of turning of the autonomous vehicle so the autonomous vehicle operates with a third aggression level that corresponds to the average aggression level.

2. The computer system of claim 1 , wherein the sensor is a motion sensor.

3. The computer system of claim 1 , wherein the sensor is an audio sensor.

4. The computer system of claim 1 , wherein the sensor is a laser sensor.

5. The computer system of claim 1 , wherein the first aggression level includes a speed.

6. The computer system of claim 1 , wherein the average aggression level is scored on a scale of 0-100.

7. The computer system of claim 1 , wherein controlling the autonomous vehicle so the autonomous vehicle operates with the third combination of the third aggression level that corresponds to the average aggression level includes adjusting at least one of the third rate of acceleration, a speed, a swerve factor, or the third rate of turning of the autonomous vehicle based on the aggression level.

8. A computer-implemented method for controlling an autonomous vehicle, the method comprising:

capturing, by a sensor mounted to the autonomous vehicle, first data associated with a first proximate vehicle, and second data associated with a second proximate vehicle;

analyzing the first data to estimate a first aggression level of the first proximate vehicle, the first aggression level representing a first combination of a first rate of acceleration, and a first rate of turning of the first proximate vehicle;

analyzing the second data to estimate a second aggression level of the second proximate vehicle, the second aggression level representing a second combination of a second rate of acceleration, and a second rate of turning of the second proximate vehicle;

combining the first aggression level and the second aggression level to determine an average aggression level; and

operating the autonomous vehicle with a third aggression level matching the average aggression level.

9. The computer-implemented method of claim 8 , wherein the first aggression level includes an estimated speed.

10. The computer-implemented method of claim 8 , wherein the first aggression level includes an estimated swerve factor.

11. The computer-implemented method of claim 8 , wherein capturing the first data associated with the first proximate vehicle comprises detecting audio associated with the first proximate vehicle.

12. The computer-implemented method of claim 8 , wherein operating the autonomous vehicle with the third aggression level matching the average aggression level comprises adjusting at least one of a third rate of acceleration, a speed, a swerve factor, or a third rate of turning of the autonomous vehicle.

13. The computer-implemented method of claim 8 , wherein the average aggression level is scored on a scale of 0-100.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 15, 2019
From: CHAN, LEO N.; GAUDIN, KRISTOPHER KEITH; LYONS, ROXANE; LEISE, WILLIAM J.; MATESEVAC, EDWARD P., III; KELLETT, JENNIFER CRISWELL; CIELOCHA, STEVEN C.; MYERS, JEREMY; MEGYESE, MATTHEW S.; CRAWFORD, JENNIFER L.; NEPOMUCENO, JOHN A.; SHAH, RAJIV
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 050713/0136 →
Continuity (5)
Continuation 15482473 · Apr 7, 2017
Provisional Application 62401116 · Sep 28, 2016
Provisional Application 62340302 · May 23, 2016
Provisional Application 62321005 · Apr 11, 2016
Provisional Application 62321010 · Apr 11, 2016
Cited By (1)
US 12,221,131