Dynamic lidar alignment

Patent metadata

Field	Value
Publication number	US-2021373138-A1
Application number	US-202016887397-A
Country	US
Kind code	A1
Filing date	May 29, 2020
Priority date	May 29, 2020
Publication date	Dec 2, 2021
Grant date	—

Abstract

Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: recording, by a controller onboard the vehicle, lidar data from the lidar device while the vehicle is travelling on a straight road; determining, by the controller, that the vehicle is travelling straight on the straight road; detecting, by the controller, straight lane marks on the straight road; computing, by the controller, lidar boresight parameters based on the straight lane marks; calibrating, by the controller, the lidar device based on the lidar boresight parameters; and controlling, by the controller, the vehicle based on data from the calibrated lidar device.

First claim

What is claimed is:

1 . A method of controlling a vehicle having a lidar device, the method comprising:
recording, by a controller onboard the vehicle, lidar data from the lidar device while the vehicle is travelling on a straight road; determining, by the controller, that the vehicle is travelling straight on the straight road; detecting, by the controller, straight lane marks on the straight road; computing, by the controller, lidar boresight parameters based on the straight lane marks; calibrating, by the controller, the lidar device based on the lidar boresight parameters; and controlling, by the controller, the vehicle based on data from the calibrated lidar device.

2 . The method of claim 1 , wherein the determining that the vehicle is travelling on the straight line is based on lateral drift of the vehicle.

3 . The method of claim 1 , wherein the determining that the vehicle is travelling on a straight line is based on global positioning data.

4 . The method of claim 1 , wherein the detecting straight lane marks is based on extracting ground points and lane mark points from the lidar data.

5 . The method of claim 1 , wherein the computing the lidar boresight parameters is based on principal component analysis.

6 . The method of claim 5 , wherein the computing the lidar boresight parameters comprises:
rebalancing, by the controller, lidar point distributions; computing, by the controller second and third principal component parameters for the left and right marks; and calibrating, by the controller, the boresight parameters.

7 . The method of claim 1 , further comprising:
determining, by the controller, that reference lane marks exist with earth coordinates; and updating, by the controller, the lidar boresight parameters based on the reference lane marks.

8 . The method of claim 7 , further comprising:
computing, by the controller, the lidar boresight parameters based on different vehicle locations.

9 . The method of claim 1 , wherein the computing the lidar boresight parameters comprises performing integration with multiple lidar boresight parameters.

10 . The method of claim 1 , further comprising:
determining, by the controller, that the vehicle is travelling on a flat road; and wherein the detecting the straight lane marks is based on the vehicle travelling on the flat road.

11 . A vehicle system of a vehicle, comprising:
a lidar device; and a controller configured to, by a processor, record lidar data from the lidar device while the vehicle is travelling on a straight road, determine that the vehicle is travelling straight on the straight road, detect straight lane marks on the straight road, compute lidar boresight parameters based on the straight lane marks, calibrate the lidar device based on the lidar boresight parameters, and control the vehicle based on data from the calibrated lidar device.

12 . The vehicle system of claim 11 , wherein the controller is configured to determine that the vehicle is travelling on the straight line based on lateral drift of the vehicle.

13 . The vehicle system of claim 11 , wherein the controller is configured to determine that the vehicle is travelling on the straight line based on global positioning data.

14 . The vehicle system of claim 11 , wherein the controller is configured to detect straight lane marks based on extracting ground points and lane mark points from the lidar data.

15 . The vehicle system of claim 11 , wherein the controller is configured to compute the lidar boresight parameters based on principal component analysis.

16 . The vehicle system of claim 15 , wherein the controller is configured to compute the lidar boresight parameters by:
rebalancing, by the controller, lidar point distributions; computing, by the controller second and third principal component parameters for the left and right marks; and calibrating, by the controller, the boresight parameters.

17 . The vehicle system of claim 11 , wherein the controller is further configured to:
determine that reference lane marks exist with earth coordinates; and update the lidar boresight parameters based on the reference lane marks.

18 . The vehicle system of claim 17 , wherein the controller is further configured to:
compute the lidar boresight parameters based on different vehicle locations.

19 . The vehicle system of claim 11 , wherein the controller is further configured to compute the lidar boresight parameters by performing integration with multiple lidar boresight parameters.

20 . A method of controlling a vehicle having a lidar device and an inertial measurement unit (IMU), the method comprising:
determining, by a controller, that the vehicle is performing a cornering maneuver based on recorded lidar data and IMU data; detecting, by the controller, objects in the lidar data; determining, by the controller, useful data associated with the detected objects from the lidar data; computing, by the controller, parameters based on the useful data; calibrating, by the controller, the lidar device based on the parameters; and controlling, by the controller, the vehicle based on data from the calibrated lidar device.

Assignees

• Gm Global Tech Operations Llc

Inventors

• Jiang Shengbing
• Hu Yao
• Du Xinyu
• Lin Wen-Chiao
• Yu Hao
• Duan Shiming

Classifications

• B60W2050/0083

  Setting, resetting, calibration · CPC title

• B60W50/00

  Details of control systems for road vehicle drive control not related to the control of a particular sub-unit {, e.g. process diagnostic or vehicle driver interfaces} · CPC title

• B60W60/00

  Drive control systems specially adapted for autonomous road vehicles · CPC title

• G01S7/40 Primary

  Means for monitoring or calibrating · CPC title

• G01S17/931

  of land vehicles · CPC title