IP Library Granted Patent US 11,933,604
Granted Patent B2
US 11,933,604 · App. 17/125,207 · Granted Mar 19, 2024

Detection method and apparatus for automatic driving sensor, and electronic device

Inventors: Xuan Huang (Beijing, CN); Nan Wu (Beijing, CN); Xun Zhou (Beijing, CN); Jingjing Xue (Beijing, CN); Yingnan Liu (Beijing, CN)
Assignee: APOLLO INTELLIGENT DRIVING TECHNOLOGY (BEIJING) CO., LTD.
G01B11/26G01S17/931G05D1/0257G06V10/245G06V20/56
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Quick Facts
Patent No.
US 11,933,604
App. No.
17/125,207
Granted
Mar 19, 2024
Kind
B2
Abstract

The embodiments of the present disclosure provide a detection method, apparatus for automatic driving sensor, and electronic device. The method includes: pre-establishing a standard association relationship, the sensor to-be-detected is used for capturing in a fixed scene, and a corresponding capturing result is displayed.

Claims (39)

1. A detection method for sensors to-be-detected, comprising:

pre-establishing a standard association relationship, wherein the standard association relationship is a corresponding relationship between ID information and a standard capturing result of the sensors to-be-detected in a fixed scene when the sensors to-be-detected are correctly installed;

using the sensors to-be-detected to capture in a fixed scene and obtain a corresponding capturing result; and

outputting a first detection result according to the capturing result and the standard association relationship, wherein the first detection result is configured to indicate whether an installation sequence of the sensors to-be-detected is correct;

wherein the method further comprises:

detecting installation angles of the sensors to-be-detected according to a position of a target object in the capturing result and a standard reference mark, and outputting a second detection result, wherein the second detection result is configured to indicate whether the installation angles of the sensors to-be-detected are accurate.

2. The method according to claim 1 , wherein the sensors to-be-detected comprise: cameras or laser-radar; and

correspondingly, the capturing result of each camera is a captured image, and the capturing result of each laser-radar is a captured point cloud.

3. The method according to claim 1 , wherein if the installation sequence of the sensors to-be-detected is incorrect, the method further comprises:

adjusting the installation sequence of the sensors to-be-detected according to the standard association relationship.

4. The method according to claim 1 , wherein if the installation angle of the sensors to-be-detected is not accurate, the method further comprises:

adjusting one or more of a horizontal angle, a pitch angle and a rotation angle of the sensors to-be-detected, according to the position of the target object in the capturing result and the standard reference mark.

5. The method according to claim 4 , wherein after the adjusting one or more of a horizontal angle, a pitch angle and a rotation angle of the sensors to-be-detected, according to the position of the target object in the capturing result and the standard reference mark, further comprising:

fixing the sensors to-be-detected.

6. The method according to claim 1 , wherein the standard reference mark is determined through following manners:

identifying one target object in the standard capturing result, and setting a standard reference mark at the position of the target object, which is a contour line of the target object, a horizontal line, or a vertical line.

7. The method according to claim 1 , wherein the standard reference mark is determined through following manners:

identifying multiple target objects in the standard capturing result, and setting a standard reference mark at the positions of the multiple target objects, wherein the standard reference mark is a line connecting center points of the multiple target objects.

8. A non-transitory computer-readable storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the method according to claim 1 is executed.

9. An electronic device for sensors to-be-detected, comprising a memory, a processor and a display, wherein, the electronic device further comprises the sensors to-be-detected;

the memory is configured to store instructions;

the display is configured to display a capturing result of the sensors to-be-detected in a fixed scene;

the processor is configured to execute the instructions, and the instructions are executed by the processor to cause the processor to:

pre-establish a standard association relationship, wherein the standard association relationship is a corresponding relationship between ID information and a standard capturing result of the sensors to-be-detected in a fixed scene when the sensors to-be-detected are correctly installed;

use the sensors to-be-detected to capture in a fixed scene to obtain a corresponding capturing result; and

output a first detection result according to the capturing result and the standard association relationship, wherein the first detection result is configured to indicate whether an installation sequence of the sensors to-be-detected is correct;

wherein the processor is further caused to: detect installation angles of the sensors to-be-detected according to a position of a target object in the capturing result and a standard reference mark, and output a second detection result, wherein the second detection result is configured to indicate whether the installation angle of the sensors to-be-detected is accurate.

10. The electronic device according to claim 9 , wherein the sensors to-be-detected comprise: cameras or laser-radar; and

correspondingly, the capturing result of each camera is a captured image, and the capturing result of each laser-radar is a captured point cloud.

11. The electronic device according to claim 9 , wherein if the installation sequence of the sensors to-be-detected is incorrect, the processor is further caused to:

adjust the installation sequence of the sensors to-be-detected according to the standard association relationship.

12. The electronic device according to claim 9 , wherein if the installation angle of the sensors to-be-detected is not accurate, the processor is further caused to:

adjust one or more of a horizontal angle, a pitch angle and a rotation angle of the sensors to-be-detected, according to the position of the target object in the capturing result and the standard reference mark.

13. The electronic device according to claim 12 , wherein, after being caused to adjust one or more of a horizontal angle, a pitch angle and a rotation angle of the sensors to-be-detected, according to the position of the target object in the capturing result and the standard reference mark, the processor is further caused to:

fix the sensors to-be-detected.

14. The electronic device according to claim 9 , wherein the standard reference mark is determined through following manners:

identifying one target object in the standard capturing result, and setting a standard reference mark at the position of the target object, which is a contour line of the target object, a horizontal line, or a vertical line.

15. The electronic device according to claim 9 , wherein the standard reference mark is determined through following manners:

identifying multiple target objects in the standard capturing result, and setting a standard reference mark at the positions of the multiple target objects, wherein the standard reference mark is a line connecting center points of the multiple target objects.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 13, 2021
From: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
To: APOLLO INTELLIGENT DRIVING TECHNOLOGY (BEIJING) CO., LTD.
Reel/Frame 058241/0248 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 7, 2021
From: HUANG, XUAN; WU, NAN; ZHOU, XUN; XUE, JINGJING; LIU, YINGNAN
To: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
Reel/Frame 054846/0973 →
Priority Claims (1)
CN 201910039103.1 · Jan 16, 2019 · national
Continuity (2)
Continuation PCTCN2019126304 · Dec 18, 2019
Related Publication 20210103741A1 · Apr 8, 2021