System for filtering lidar data in vehicle and method thereof

Patent metadata

Field	Value
Publication number	US-2016103208-A1
Application number	US-201414576265-A
Country	US
Kind code	A1
Filing date	Dec 19, 2014
Priority date	Oct 14, 2014
Publication date	Apr 14, 2016
Grant date	—

Abstract

A system and method for filtering LiDAR data is provided. The system includes a LiDAR data collector that is configured to collect the LiDAR data from a LiDAR and store the LiDAR data in a matrix structure. A noise point determiner is configured to determine whether a first filtering condition for determining whether a point within a predetermined reference distance in the LiDAR data is present, a second filtering condition for determining whether a present point adjacent to a left and right by a reference of a reference point in the matrix structure is a first reference value or less, and a third filtering condition for determining whether a present point adjacent to a top and bottom by the reference of the reference point is a second reference value or less are satisfied.

First claim

What is claimed is:

1 . A system for filtering LiDAR (Light Detection And Ranging) data, comprising:
a LiDAR data collector configured to collect the LiDAR data from a LiDAR and store the LiDAR data in a matrix structure; and a noise point determiner configured to determine whether a first filtering condition for determining whether a point within a predetermined reference distance in the LiDAR data is present, a second filtering condition for determining whether a present point adjacent to a left and right by a reference of a reference point in the matrix structure is a first reference value or less, and a third filtering condition for determining whether a present point adjacent to a top and bottom by the reference of the reference point is a second reference value or less are satisfied.

2 . A system for filtering LiDAR data according to claim 1 , wherein the noise point determiner is configured to determine the reference point satisfying the first filtering condition, the second filtering condition, and the third filtering condition as a noise point.

3 . A system for filtering LiDAR data according to claim 2 , wherein the system further comprises:
a noise point eliminator configured to eliminate the noise point in the LiDAR data.

4 . A system for filtering LiDAR data according to claim 1 , wherein in the first filtering condition, the predetermined reference distance is within about 10 m from the LiDAR.

5 . A system for filtering LiDAR data according to claim 1 , wherein in the second filtering condition, the first reference value is at least 1.

6 . A system for filtering LiDAR data according to claim 1 , wherein in the third filtering condition, the second reference value is at least 1.

7 . A method for filtering LiDAR data, comprising:
storing, by a controller, the LiDAR data in a matrix structure; determining, by the controller, whether a first filtering condition for determining whether a point is present within a predetermined reference distance in the LiDAR data is satisfied; determining, by the controller, whether a second filtering condition for determining whether a present point adjacent to a left and right by a reference of a reference point in the matrix structure is a first reference value or less is satisfied, when the first filtering condition is satisfied; and determining, by the controller, whether a third filtering condition for determining whether a present point adjacent to a top and bottom by the reference of the reference point is a second reference value or less are satisfied, when the second filtering condition is satisfied.

8 . A method for filtering LiDAR data according to claim 7 , wherein the method further comprises:
determining, by the controller, the reference point satisfying the first filtering condition, the second filtering condition, and the third filtering condition as a noise point.

9 . A method for filtering LiDAR data according to claim 8 , wherein the method further comprises:
eliminating, by the controller, the noise point in the LiDAR data.

10 . A method for filtering LiDAR data according to claim 9 , wherein in the first filtering condition, the predetermined reference distance is within about 10 m from the LiDAR, in the second filtering condition, the first reference value is at least 1, and in the third filtering condition, the second reference value is at least 1.

11 . A non-transitory computer readable medium containing program instructions executed by a controller, the computer readable medium comprising:
program instructions that store the LiDAR data in a matrix structure; program instructions that determine whether a first filtering condition for determining whether a point is present within a predetermined reference distance in the LiDAR data is satisfied; program instructions that determine whether a second filtering condition for determining whether a present point adjacent to a left and right by a reference of a reference point in the matrix structure is a first reference value or less is satisfied, when the first filtering condition is satisfied; and program instructions that determine whether a third filtering condition for determining whether a present point adjacent to a top and bottom by the reference of the reference point is a second reference value or less are satisfied, when the second filtering condition is satisfied.

12 . The non-transitory computer readable medium of claim 11 , further comprising:
program instructions that determine the reference point satisfying the first filtering condition, the second filtering condition, and the third filtering condition as a noise point.

13 . The non-transitory computer readable medium of claim 12 , further comprising:
program instructions that eliminate the noise point in the LiDAR data.

14 . The non-transitory computer readable medium of claim 11 , wherein in the first filtering condition, the predetermined reference distance is within about 10 m from the LiDAR, in the second filtering condition, the first reference value is at least 1, and in the third filtering condition, the second reference value is at least 1.

Assignees

• Hyundai Motor Co Ltd

Inventors

• Heo Myung Seon
• You Byung Yong
• Oh Young Chul

Classifications

• G01S17/931

  of land vehicles · CPC title

• G01S17/89

  for mapping or imaging · CPC title

• G08G1/16

  Anti-collision systems (road vehicle drive control systems for predicting or avoiding probable or impending collision otherwise than by control of a particular sub-unit B60W30/08) · CPC title

• G01S17/06

  Systems determining position data of a target · CPC title

• G01S17/93

  for anti-collision purposes · CPC title