IP Library Granted Patent US 11,548,526
Granted Patent B2
US 11,548,526 · App. 16/862,431 · Granted Jan 10, 2023

Systems and methods for implementing an autonomous vehicle response to sensor failure

Inventors: Zachary Thomas Batts (Pittsburgh, PA); Ludong Sun (Pittsburgh, PA); Ky Woodard (Pittsburgh, PA); Qian Wang (Allison Park, PA); Yiming Zhao (Allison Park, PA); Stephanie Lee (Pittsburgh, PA); Lin Zhao (Pittsburgh, PA)
Assignee: Motional AD LLC
B60W60/001B60Q1/46B60Q5/005B60W50/023B60W50/0205G05D1/0214B60W2050/0215B60W2552/00
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Quick Facts
Patent No.
US 11,548,526
App. No.
16/862,431
Granted
Jan 10, 2023
Kind
B2
Abstract

Among other things, we describe techniques for implementing a vehicle response to sensor failure. In general, one innovative aspect of the subject matter described in this specification can be embodied in methods that include receiving information from a plurality of sensors coupled to a vehicle, determining that a level of confidence of the received information from at least one sensor of a first subset of sensors of the plurality of sensors is less than a first threshold, comparing a number of sensors in the first subset of sensors to a second threshold, and adjusting the driving capability of the vehicle to rely on information received from a second subset of sensors of the plurality of sensors, wherein the second subset of sensors excludes the at least one sensor of the first subset of sensors.

Claims (40)

1. A method comprising:

receiving information from a plurality of sensors coupled to a vehicle, wherein a driving capability of the vehicle relies on the information from the plurality of sensors;

determining, based on the received information of each sensor of the plurality of sensors, that a level of confidence of the received information from at least one sensor of a first subset of sensors of the plurality of sensors is less than a first threshold;

determining that a number of sensors in the first subset of sensors with a level of confidence greater than the first threshold is less than a second threshold; and

adjusting the driving capability of the vehicle to control the vehicle based on the determinations and rely on information received from a second subset of sensors of the plurality of sensors, wherein the second subset of sensors excludes the at least one sensor of the first subset of sensors.

2. The method of claim 1 , wherein each sensor of the plurality of sensors is allocated a weight indicative of a corresponding importance of each respective sensor, and wherein comparing the number of sensors in the first subset to the second threshold comprises:

weighting each sensor in the first subset of sensors according to a respective weight; and

comparing a weighted number of the sensors in the first subset of sensors to the second threshold.

3. The method of claim 1 , wherein the second threshold corresponds to all sensors of the plurality of sensors, and wherein adjusting the driving capability of the vehicle comprises one or more of activating one or more lights or moving away from a traveled route by dead reckoning.

4. The method of claim 1 , wherein the second threshold corresponds to all sensors of the plurality of sensors, and wherein adjusting the driving capability of the vehicle comprises:

accessing last known data for controlling the driving capability of the vehicle, wherein the last known data includes information received from a particular sensor before the received information of the particular sensor indicated that the level of confidence was less than the first threshold; and

using the last known data, navigating the vehicle to a safe location.

5. The method of claim 1 , wherein the second threshold corresponds to all sensors in the plurality of sensors, and wherein adjusting the driving capability of the vehicle comprises:

querying one or more other vehicles for driving information;

in response to the querying, receiving, from at least one of the one or more other vehicles, information on or more of road conditions or navigation instructions; and

using the received information on or more of road conditions or navigation instructions, navigating the vehicle to a safe location.

6. The method of claim 1 , further comprising:

activating one or more backup sensors; and

configuring the one or more backup sensors to perform operations previously performed by the first subset of sensors of the plurality of sensors.

7. The method of claim 6 , wherein the backup sensors are different from sensors included in the plurality of sensors.

8. The method of claim 6 , wherein the backup sensors include at least one sensor of the plurality of sensors.

9. The method of claim 1 , wherein determining that the level of confidence of the received information from the at least one sensor of the first subset of sensors is less than the first threshold comprises:

comparing measurements received from sensors in the first subset of sensors to a measurement threshold; and

determining whether the measurements received from the sensors in the first subset of sensors are less than or equal to the measurement threshold.

10. The method of claim 9 , wherein comparing measurements received from sensors in the first subset of sensors to the measurement threshold comprises:

for each respective sensor in the first subset of sensors that the level of confidence of the received information is less than the first threshold,

determining a sensor type and a coverage area of the respective sensor;

identifying a third subset of other sensors of at least one of the same sensor type of the respective sensor or of the same coverage area, wherein each identified sensor in the third subset of other sensors does not have a level of confidence of the received information less than the first threshold;

acquiring measurements received from the third subset of other sensors; and

determining that measurements received from each sensor in the third subset of other sensors and measurements received from the respective sensor in the first subset of sensors are greater than or equal to a sensor agreement threshold.

11. The method of claim 10 , further comprising:

determining that the measurements received from the respective sensor in the first subset of sensors are less than or equal to the measurement threshold.

12. The method of claim 1 , wherein determining that a level of confidence of the received information from the at least one sensor of the first subset of sensors of the plurality of sensors is less than the first threshold comprises:

comparing measurements received from sensors in the first subset of sensors to a range of values corresponding to a statistical confidence interval; and

determining that the measurements received from the sensors in the first subset of sensors are outside the range of values corresponding to the statistical confidence interval.

13. A method comprising:

receiving information from a plurality of sensors coupled to a vehicle, wherein a driving capability of the vehicle relies on the information from the plurality of sensors;

determining, based on the received information of each sensor of the plurality of sensors, that a level of confidence of the received information from at least one sensor of a first subset of sensors of the plurality of sensors is less than a first threshold;

determining that a number of sensors in the first subset of sensors with a level of confidence greater than the first threshold is greater than a second threshold; and

adjusting the driving capability of the vehicle to control the vehicle based on the determinations and rely on information received from sensors in the first subset of sensors with a level of confidence greater than the first threshold.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 23, 2020
From: APTIV TECHNOLOGIES LIMITED
To: MOTIONAL AD LLC
Reel/Frame 053863/0746 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 9, 2020
From: BATTS, ZACHARY THOMAS; SUN, LUDONG; WOODARD, KY; WANG, QIAN; ZHAO, YIMING; LEE, STEPHANIE; ZHAO, LIN
To: APTIV TECHNOLOGIES LIMITED
Reel/Frame 053160/0957 →
Continuity (2)
Provisional Application 62839886 · Apr 29, 2019
Related Publication 20200339151A1 · Oct 29, 2020