IP Library Granted Patent US 9,690,296
Granted Patent B1
US 9,690,296 · App. 14/872,270 · Granted Jun 27, 2017

Avoiding blind spots of other vehicles

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Quick Facts
Patent No.
US 9,690,296
App. No.
14/872,270
Granted
Jun 27, 2017
Kind
B1
Abstract

Aspects of the disclosure relate generally to detecting and avoiding blind spots of other vehicles when maneuvering an autonomous vehicle. Blind spots may include both areas adjacent to another vehicle in which the driver of that vehicle would be unable to identify another object as well as areas that a second driver in a second vehicle may be uncomfortable driving. In one example, a computer of the autonomous vehicle may identify objects that may be relevant for blind spot detecting and may determine the blind spots for these other vehicles. The computer may predict the future locations of the autonomous vehicle and the identified vehicles to determine whether the autonomous vehicle would drive in any of the determined blind spots. If so, the autonomous driving system may adjust its speed to avoid or limit the autonomous vehicle's time in any of the blind spots.

Claims (66)

1. A method for maneuvering a first vehicle, the method comprising:

receiving, by one or more processors, sensor data collected along a roadway;

detecting, by the one or more processors, objects on the roadway based on the sensor data;

identifying, by the one or more processors, from the detected objects, a second vehicle traveling in a respective lane adjacent to a first lane in which the first vehicle is currently traveling and in a same direction of traffic as the first vehicle;

determining, by the one or more processors, a blind spot area that defines a space in the first lane that is adjacent to the second vehicle; and

maneuvering, by the one or more processors, the first vehicle within the blind spot area for no more than a predetermined period of time.

2. The method of claim 1 , further comprising:

predicting, by the one or more processors, a future location of the second vehicle; and

using the prediction to maneuver the first vehicle.

3. The method of claim 1 , further comprising:

determining, by the one or more processors, that the first vehicle will drive through the blind spot area within a period of time; and

using the determination that the first vehicle will drive through the blind spot area as a controlling factor when maneuvering the first vehicle.

4. The method of claim 1 , further comprising:

prior to maneuvering the first vehicle, predicting that the first vehicle will drive within the blind spot area by passing through only a portion of the blind spot area for a second threshold period of time, and

wherein maneuvering the first vehicle is further based on the prediction.

5. The method of claim 1 , further comprising, prior to maneuvering the first vehicle, predicting that the first vehicle will drive within the blind spot area by maneuvering the first vehicle completely within the blind spot area, and

wherein maneuvering the first vehicle is based on the prediction.

6. The method of claim 1 , further comprising:

selecting a second predetermined period of time based on a speed of the first vehicle; and

prior to maneuvering, predicting that the first vehicle will drive within the blind spot area within the second predetermined period of time, and

wherein maneuvering the first vehicle is further based on the prediction.

7. The method of claim 6 , wherein the second predetermined period of time is selected to increase as a speed of the first vehicle increases.

8. The method of claim 1 , further comprising:

selecting a second predetermined period of time based on a type of the second vehicle; and

prior to maneuvering, predicting that the first vehicle will drive within the blind spot area within the second predetermined period of time, and

wherein maneuvering the first vehicle is further based on the prediction.

9. A system for maneuvering a first vehicle, the system comprising one or more processors configured to:

receive sensor data collected along a roadway;

detect objects on the roadway based on the sensor data;

identify from the detected objects, a second vehicle traveling in a respective lane adjacent to a first lane in which the first vehicle is currently traveling and in a same direction of traffic as the first vehicle;

determine a blind spot area that defines a space in the first lane that is adjacent to the second vehicle; and

maneuver the first vehicle within the blind spot area for no more than a predetermined period of time.

10. The system of claim 9 , wherein the one or more processors are further configured to:

predict a future location of the second vehicle; and

use the prediction to maneuver the first vehicle.

11. The system of claim 9 , wherein the one or more processors are further configured to:

determine that the first vehicle will drive through the blind spot area within a period of time; and

use the determination that the first vehicle will drive through the blind spot area as a controlling factor when maneuvering the first vehicle.

12. The system of claim 9 , further comprising the first vehicle.

13. The system of claim 9 , wherein the one or more processors are further configured to:

prior to the maneuvering, predict that the first vehicle will drive within the blind spot area by passing through only a portion of the blind spot area for a second threshold period of time; and

perform the maneuvering of the first vehicle based on the prediction.

14. The system of claim 9 , wherein the one or more processors are further configured to:

prior to the maneuvering, predict that the first vehicle will drive completely within the blind spot area; and

perform the maneuvering of the first vehicle based on the prediction.

15. The system of claim 9 , wherein the one or more processors are further configured to:

select a second predetermined period of time based on a speed of the first vehicle;

prior to maneuvering the first vehicle, predicting that the first vehicle will drive within the blind spot area within the second predetermined period of time; and

perform the maneuvering of the first vehicle based on the prediction.

16. The system of claim 15 , wherein the one or more processors are further configured to select the second predetermined period of time in order to increase as a speed of the first vehicle increases.

17. The system of claim 9 , wherein the one or more processors are further configured to:

select the predetermined period of time based on a type of the second vehicle; and

prior to performing the maneuvering, predict that the first vehicle will drive within the blind spot area within the second predetermined period of time, and

perform the maneuvering of the first vehicle based on the prediction.

18. A non-transitory, tangible computer-readable storage medium on which computer readable instructions of a program are stored, the instructions, when executed by a processor, cause the processor to perform a method for maneuvering a first vehicle, the method comprising:

receiving sensor data collected along a roadway;

detecting objects on the roadway based on the sensor data;

identifying from the detected objects, a second vehicle traveling in a respective lane adjacent to a first lane in which the first vehicle is currently traveling and in a same direction of traffic as the first vehicle;

determining a blind spot area that defines a space in the first lane that is adjacent to the second vehicle; and

maneuvering the first vehicle within the blind spot area for no more than a predetermined period of time.

19. The medium of claim 18 , wherein the method further includes:

prior to maneuvering the first vehicle, predicting that the first vehicle will drive within the blind spot area by passing through only a portion of the blind spot area for a second threshold period of time, and

wherein maneuvering the first vehicle further based on the prediction.

20. The medium of claim 18 , wherein the method further includes:

prior to maneuvering the first vehicle, predicting that the vehicle will drive completely within the blind spot area, and

wherein maneuvering the first vehicle further based on the prediction.

Assignments (6)
CORRECTIVE ASSIGNMENT TO CORRECT THE THE REMOVAL OF THE INCORRECTLY RECORDED APPLICATION NUMBERS 14/149802 AND 15/419313 PREVIOUSLY RECORDED AT REEL: 44144 FRAME: 1. ASSIGNOR(S) HEREBY CONFIRMS THE CHANGE OF NAME. Recorded Mar 4, 2024
From: GOOGLE INC.
To: GOOGLE LLC
Reel/Frame 068092/0502 →
SUBMISSION TO CORRECT AN ERROR MADE IN A PREVIOUSLY RECORDED DOCUMENT THAT ERRONEOUSLY AFFECTS THE IDENTIFIED APPLICATIONS Recorded Nov 11, 2019
From: WAYMO LLC
To: WAYMO LLC
Reel/Frame 050978/0359 →
CHANGE OF NAME Recorded Oct 6, 2017
From: GOOGLE INC.
To: GOOGLE LLC
Reel/Frame 044144/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 28, 2017
From: WAYMO HOLDING INC.
To: WAYMO LLC
Reel/Frame 042108/0021 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 27, 2017
From: GOOGLE INC.
To: WAYMO HOLDING INC.
Reel/Frame 042099/0935 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 1, 2015
From: DOLGOV, DMITRI A.; URMSON, CHRISTOPHER PAUL
To: GOOGLE INC.
Reel/Frame 036704/0078 →