Method and apparatus for correcting distance distortion to improve detection accuracy of lidar

US2023273302A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2023273302-A1
Application numberUS-202217964833-A
CountryUS
Kind codeA1
Filing dateOct 12, 2022
Priority dateFeb 28, 2022
Publication dateAug 31, 2023
Grant date

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Abstract

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A method of correcting distance distortion to improve detection accuracy of a Light Detection and Ranging (LiDAR) according to one embodiment of the present disclosure includes acquiring measurement data for detecting a target by the LiDAR, estimating a range of a distance offset through comparison between the measurement data and reference data, estimating the distance offset based on a correlation coefficient between the measurement data and the reference data in the range of the distance offset, and correcting the measurement data using the estimated distance offset.

First claim

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What is claimed is: 1 . A method of correcting distance distortion to improve detection accuracy of a Light Detection and Ranging (LiDAR), the method comprising: acquiring measurement data for detecting a target by the LiDAR; estimating a range of a distance offset through comparison between the measurement data and reference data; estimating the distance offset based on a correlation coefficient between the measurement data and the reference data in the range of the distance offset; and correcting the measurement data using the estimated distance offset. 2 . The method of claim 1 , wherein the correcting of the measurement data includes correcting the measurement data acquired for each channel using the estimated distance offset for each channel. 3 . The method of claim 1 , wherein the estimating of the range of the distance offset includes estimating the range of the distance offset using the reference data provided for each distance offset. 4 . The method of claim 3 , wherein the estimating of the range of the distance offset includes identifying the range of the distance offset having the smallest difference in the distance offset between a specific pixel of the measurement data and a specific pixel of the reference data. 5 . The method of claim 1 , wherein the estimating of the distance offset includes estimating the distance offset having the highest correlation coefficient between the measurement data and the reference data in the range of the distance offset. 6 . The method of claim 1 , wherein the correcting of the measurement data includes correcting the measurement data by removing the estimated distance offset from the measurement data. 7 . The method of claim 1 , further comprising: estimating a horizontal angle between the LiDAR and the target using the measurement data; identifying an error in the measurement data using an error map related to an error generated by a distance resolution of the LiDAR; and correcting the measurement data using the identified error. 8 . The method of claim 7 , further comprising generating the error map by mapping the error for each coordinate within a detection area of the LiDAR. 9 . The method of claim 8 , wherein the generating of the error map includes generating the error map for each horizontal angle between the LiDAR and the target. 10 . The method of claim 7 , wherein the correcting of the measurement data includes correcting the measurement data for each pixel using the error identified for each pixel. 11 . The method of claim 7 , wherein the estimating of the horizontal angle includes estimating the horizontal angle through a regression line calculated using linear regression from the measurement data. 12 . An apparatus for correcting distance distortion to improve detection accuracy of a Light Detection and Ranging (LiDAR), the apparatus comprising a processor configured to: acquire measurement data for detecting a target by the LiDAR; estimate a range of a distance offset through comparison between the measurement data and reference data; estimate the distance offset based on a correlation coefficient between the measurement data and the reference data in the range of the distance offset; and correct the measurement data using the estimated distance offset. 13 . The apparatus of claim 12 , wherein the processor corrects the measurement data acquired for each channel using the estimated distance offset for each channel. 14 . The apparatus of claim 12 , wherein the processor estimates the range of the distance offset using the reference data provided for each distance offset. 15 . The apparatus of claim 14 , wherein the processor identifies the range of the distance offset having the smallest difference in the distance offset between a specific pixel of the measurement data and a specific pixel of the reference data. 16 . The apparatus of claim 12 , wherein the processor estimates the distance offset having the highest correlation coefficient between the measurement data and the reference data in the range of the distance offset. 17 . The apparatus of claim 12 , wherein the processor corrects the measurement data by removing the estimated distance offset from the measurement data. 18 . The apparatus of claim 12 , wherein the processor estimates a horizontal angle between the LiDAR and the target using the measurement data, identifies an error in the measurement data using an error map related to an error generated by a distance resolution of the LiDAR, and corrects the measurement data using the identified error. 19 . The apparatus of claim 18 , wherein the processor generates the error map for each horizontal angle between the LiDAR and the target by mapping the error for each coordinate within a detection area of the LiDAR. 20 . The apparatus of claim 18 , wherein the processor corrects the measurement data for each pixel using the error identified for each pixel.

Assignees

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Classifications

  • G01S7/497Primary

    Means for monitoring or calibrating · CPC title

  • Simultaneous measurement of distance and other co-ordinates (indirect measurement G01S17/46) · CPC title

  • using transmission of interrupted, pulse-modulated waves (determination of distance by phase measurements G01S17/32) · CPC title

  • Time delay measurement, e.g. time-of-flight measurement, time of arrival measurement or determining the exact position of a peak (peak detection in noise, signal conditioning G01S7/487) · CPC title

  • for mapping or imaging · CPC title

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What does patent US2023273302A1 cover?
A method of correcting distance distortion to improve detection accuracy of a Light Detection and Ranging (LiDAR) according to one embodiment of the present disclosure includes acquiring measurement data for detecting a target by the LiDAR, estimating a range of a distance offset through comparison between the measurement data and reference data, estimating the distance offset based on a correl…
Who is the assignee on this patent?
Hl Klemove Corp
What technology area does this patent fall under?
Primary CPC classification G01S7/497. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Aug 31 2023 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).