Method for calibration of camera and lidar, and computer program recorded on recording medium for executing method therefor
US-2024426988-A1 · Dec 26, 2024 · US
US2023273302A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2023273302-A1 |
| Application number | US-202217964833-A |
| Country | US |
| Kind code | A1 |
| Filing date | Oct 12, 2022 |
| Priority date | Feb 28, 2022 |
| Publication date | Aug 31, 2023 |
| Grant date | — |
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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.
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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.
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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