LiDAR-Camera Calibration Using Line Correspondences

In this paper, we introduce a novel approach to estimate the extrinsic parameters between a LiDAR and a camera. Our method is based on line correspondences between the LiDAR point clouds and camera images. We solve the rotation matrix with 3D–2D infinity point pairs extracted from parallel lines. Th...

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Main Authors: Zixuan Bai, Guang Jiang, Ailing Xu
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/21/6319
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author Zixuan Bai
Guang Jiang
Ailing Xu
author_facet Zixuan Bai
Guang Jiang
Ailing Xu
author_sort Zixuan Bai
collection DOAJ
description In this paper, we introduce a novel approach to estimate the extrinsic parameters between a LiDAR and a camera. Our method is based on line correspondences between the LiDAR point clouds and camera images. We solve the rotation matrix with 3D–2D infinity point pairs extracted from parallel lines. Then, the translation vector can be solved based on the point-on-line constraint. Different from other target-based methods, this method can be performed simply without preparing specific calibration objects because parallel lines are commonly presented in the environment. We validate our algorithm on both simulated and real data. Error analysis shows that our method can perform well in terms of robustness and accuracy.
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spelling doaj.art-65098c2231484661aeee0a6676acd7582023-11-20T19:56:37ZengMDPI AGSensors1424-82202020-11-012021631910.3390/s20216319LiDAR-Camera Calibration Using Line CorrespondencesZixuan Bai0Guang Jiang1Ailing Xu2School of Telecommunications Engineering, Xidian University, Xi’an 710071, ChinaSchool of Telecommunications Engineering, Xidian University, Xi’an 710071, ChinaSchool of Telecommunications Engineering, Xidian University, Xi’an 710071, ChinaIn this paper, we introduce a novel approach to estimate the extrinsic parameters between a LiDAR and a camera. Our method is based on line correspondences between the LiDAR point clouds and camera images. We solve the rotation matrix with 3D–2D infinity point pairs extracted from parallel lines. Then, the translation vector can be solved based on the point-on-line constraint. Different from other target-based methods, this method can be performed simply without preparing specific calibration objects because parallel lines are commonly presented in the environment. We validate our algorithm on both simulated and real data. Error analysis shows that our method can perform well in terms of robustness and accuracy.https://www.mdpi.com/1424-8220/20/21/6319extrinsic calibrationLiDAR-Cameraline correspondenceinfinity point
spellingShingle Zixuan Bai
Guang Jiang
Ailing Xu
LiDAR-Camera Calibration Using Line Correspondences
Sensors
extrinsic calibration
LiDAR-Camera
line correspondence
infinity point
title LiDAR-Camera Calibration Using Line Correspondences
title_full LiDAR-Camera Calibration Using Line Correspondences
title_fullStr LiDAR-Camera Calibration Using Line Correspondences
title_full_unstemmed LiDAR-Camera Calibration Using Line Correspondences
title_short LiDAR-Camera Calibration Using Line Correspondences
title_sort lidar camera calibration using line correspondences
topic extrinsic calibration
LiDAR-Camera
line correspondence
infinity point
url https://www.mdpi.com/1424-8220/20/21/6319
work_keys_str_mv AT zixuanbai lidarcameracalibrationusinglinecorrespondences
AT guangjiang lidarcameracalibrationusinglinecorrespondences
AT ailingxu lidarcameracalibrationusinglinecorrespondences