Collision detection system for autonomous vehicle

Patent metadata

Field	Value
Publication number	US-12122370-B2
Application number	US-202217841469-A
Country	US
Kind code	B2
Filing date	Jun 15, 2022
Priority date	Jun 15, 2022
Publication date	Oct 22, 2024
Grant date	Oct 22, 2024

Abstract

A method is described and includes receiving an indication that a collision between a vehicle and an object is predicted; processing first sensor data obtained from a first onboard sensor of the vehicle to determine whether an actual occurrence of the predicted collision can be confirmed from the first sensor data and if not, processing second sensor data obtained from a second onboard sensor of the vehicle to determine whether the actual occurrence of the predicted collision can be confirmed from the second sensor data. If the actual occurrence of the predicted collision is confirmed from one of the first sensor data and the second sensor data, determining a severity of the collision based on the indication and the one of the first sensor data and the second sensor data; and prompting an action to be based on the determined severity of the collision.

First claim

What is claimed is:

1. A method comprising:
receiving an indication that a collision between a vehicle and an object is predicted to occur within a predetermined time;
processing first sensor data obtained from a first onboard sensor of the vehicle to determine whether an actual occurrence of the predicted collision can be confirmed from the first sensor data;
if the actual occurrence of the predicted collision cannot be confirmed from the first sensor data, processing second sensor data obtained from a second onboard sensor of the vehicle to determine whether the actual occurrence of the predicted collision can be confirmed from the second sensor data; and
if the actual occurrence of the predicted collision is confirmed from one of the first sensor data and the second sensor data:
determining a severity of the collision based on the indication and the one of the first sensor data and the second sensor data; and
prompting an action to be based on the determined severity of the collision.

2. The method of claim 1 , further comprising:
if the actual occurrence of the predicted collision cannot be confirmed from the second sensor data, processing third sensor data obtained from a third onboard sensor of the vehicle to determine whether the actual occurrence of the predicted collision can be confirmed from the third sensor data.

3. The method of claim 2 , wherein the first onboard sensor comprises at least one light detection and ranging (LIDAR) sensor, the second onboard sensor comprises at least one camera, and the third onboard sensor comprises an inertial measurement unit (IMU).

4. The method of claim 1 , wherein the prompted action comprises at least one of stopping the vehicle, alerting a remote assistance operator, and causing the vehicle to proceed to a service center.

5. The method of claim 1 , further comprising:
if the predicted collision has not occurred, causing the vehicle to continue on a present route.

6. The method of claim 1 , wherein the indication includes at least one of a projected time of the predicted collision, a classification of the object, a location of the collision, a rate of acceleration of the object, a speed of the object, and a direction of travel of the object.

7. The method of claim 1 , wherein the first sensor data is filtered and weighted based on the indication.

8. A method comprising:
receiving an indication that a collision between a vehicle and an object is predicted to occur within a predetermined amount of time;
confirming based on the indication and sensor data from a combination of onboard sensors of the vehicle whether the predicted collision has occurred; and
if it is confirmed that the predicted collision has occurred:
determining a severity of the collision based on the indication and the sensor data; and
initiating an action in connection with the vehicle based on the determined severity of the collision.

9. The method of claim 8 , wherein the initiated action comprises at least one of stopping the vehicle, alerting a remote assistance operator to the collision, and causing the vehicle to proceed to a service center.

10. The method of claim 8 , wherein the sensor data comprises a Light Detection and Ranging (LIDAR) point cloud, a camera image, and an IMU signal.

11. The method of claim 8 , further comprising:
if the predicted collision is not confirmed to have occurred, causing the vehicle to continue on a current route.

12. The method of claim 8 , wherein the indication includes a projected time of the predicted collision.

13. The method of claim 8 , wherein the indication comprises a classification of the object.

14. The method of claim 8 , wherein the indication comprises a location of the collision.

15. The method of claim 8 , wherein the indication comprises at least one of a rate of acceleration of the object, a speed of the object, and a direction of travel of the object.

16. The method of claim 8 , wherein the first sensor data is filtered based on the indication.

17. The method of claim 8 , wherein the fist sensor data is weighted based on the indication.

18. A system for confirming occurrence of a collision involving a vehicle and an object, the system comprising:
a plurality of onboard sensors for generating sensor data related to an environment of the vehicle; and
a collision detection module configured to:
receive an indication that a collision between the vehicle and the object is predicted to occur within a predetermined amount of time;
process first sensor data obtained from a first onboard sensor of the vehicle to determine whether an actual occurrence of the predicted collision can be confirmed from the first sensor data; and
if the actual occurrence of the predicted collision cannot be confirmed from the first sensor data, process second sensor data obtained from a second onboard sensor of the vehicle to determine whether the actual occurrence of the predicted collision can be confirmed from the second sensor data.

19. The system of claim 18 , wherein the collision detection module is further configured to:
if the actual occurrence of the predicted collision is confirmed from one of the first sensor data and the second sensor data:
determine a severity of the collision based on the indication and the one of the first sensor data and the second sensor data; and
prompt an action to be based on the determined severity of the collision.

20. The system of claim 18 , wherein the collision detection module is further configured to:
if the actual occurrence of the predicted collision cannot be confirmed from the second sensor data, process third sensor data obtained from a third onboard sensor of the vehicle to determine whether the actual occurrence of the predicted collision can be confirmed from the third sensor data.

Assignees

• Gm Cruise Holdings Llc

Inventors

• Fasola Juan
• Zhou Xiaoyu
• Lo Eugene
• Kushwaha Shreyans

Classifications

• B60W2420/408

  Radar; Laser, e.g. lidar · CPC title

• B60W2556/45

  External transmission of data to or from the vehicle · CPC title

• B60W2554/4042

  Longitudinal speed · CPC title

• B60W2554/4044

  Direction of movement, e.g. backwards · CPC title

• G07C5/008

  communicating information to a remotely located station (transmission systems for measured values G08C) · CPC title