Design of a mobile 3D imaging system based on 2D LIDAR and calibration with levenberg–marquardt optimization algorithm
LIDAR is an excellent means to obtain the information of buildings, forests, bridges, tunnels and many other big scenes, but the high price of 3D LIDAR currently limits its further application. To meet this challenge a mobile 3D imaging system based on 2D LIDAR is proposed. The system has the charac...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Physics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2022.993297/full |
| _version_ | 1811282767295545344 |
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| author | Ruikai Miao Ruikai Miao Xinyue Liu Xinyue Liu Yajun Pang Yajun Pang Liying Lang Liying Lang |
| author_facet | Ruikai Miao Ruikai Miao Xinyue Liu Xinyue Liu Yajun Pang Yajun Pang Liying Lang Liying Lang |
| author_sort | Ruikai Miao |
| collection | DOAJ |
| description | LIDAR is an excellent means to obtain the information of buildings, forests, bridges, tunnels and many other big scenes, but the high price of 3D LIDAR currently limits its further application. To meet this challenge a mobile 3D imaging system based on 2D LIDAR is proposed. The system has the characteristics of large imaging range and low cost. The composition and implementation principle of each module of the system are introduced in detail and a calibration method for the 3-axis assembly error is proposed. In this method Levenberg-Marquardt (LM) optimization algorithm is used to obtain the optimal value of the 2D LIDAR 3-axis attitude angle, which is used to compensate for the point cloud distortion caused by the assembly error. The experimental results show that the proposed method can effectively reduce the point cloud distortion caused by assembly error. This system can meet the application demand of big scenes 3D imaging. |
| first_indexed | 2024-04-13T01:58:27Z |
| format | Article |
| id | doaj.art-a70a40b5a586454d8f65b1657a11fe7c |
| institution | Directory Open Access Journal |
| issn | 2296-424X |
| language | English |
| last_indexed | 2024-04-13T01:58:27Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj.art-a70a40b5a586454d8f65b1657a11fe7c2022-12-22T03:07:42ZengFrontiers Media S.A.Frontiers in Physics2296-424X2022-08-011010.3389/fphy.2022.993297993297Design of a mobile 3D imaging system based on 2D LIDAR and calibration with levenberg–marquardt optimization algorithmRuikai Miao0Ruikai Miao1Xinyue Liu2Xinyue Liu3Yajun Pang4Yajun Pang5Liying Lang6Liying Lang7Center for Advanced Laser Technology, Hebei University of Technology, Tianjin, ChinaHebei Key Laboratory of Advanced Laser Technology and Equipment, Tianjin, ChinaCenter for Advanced Laser Technology, Hebei University of Technology, Tianjin, ChinaHebei Key Laboratory of Advanced Laser Technology and Equipment, Tianjin, ChinaCenter for Advanced Laser Technology, Hebei University of Technology, Tianjin, ChinaHebei Key Laboratory of Advanced Laser Technology and Equipment, Tianjin, ChinaCenter for Advanced Laser Technology, Hebei University of Technology, Tianjin, ChinaHebei Key Laboratory of Advanced Laser Technology and Equipment, Tianjin, ChinaLIDAR is an excellent means to obtain the information of buildings, forests, bridges, tunnels and many other big scenes, but the high price of 3D LIDAR currently limits its further application. To meet this challenge a mobile 3D imaging system based on 2D LIDAR is proposed. The system has the characteristics of large imaging range and low cost. The composition and implementation principle of each module of the system are introduced in detail and a calibration method for the 3-axis assembly error is proposed. In this method Levenberg-Marquardt (LM) optimization algorithm is used to obtain the optimal value of the 2D LIDAR 3-axis attitude angle, which is used to compensate for the point cloud distortion caused by the assembly error. The experimental results show that the proposed method can effectively reduce the point cloud distortion caused by assembly error. This system can meet the application demand of big scenes 3D imaging.https://www.frontiersin.org/articles/10.3389/fphy.2022.993297/fulllidar3D imagingpoint cloudcalibrationmobile |
| spellingShingle | Ruikai Miao Ruikai Miao Xinyue Liu Xinyue Liu Yajun Pang Yajun Pang Liying Lang Liying Lang Design of a mobile 3D imaging system based on 2D LIDAR and calibration with levenberg–marquardt optimization algorithm Frontiers in Physics lidar 3D imaging point cloud calibration mobile |
| title | Design of a mobile 3D imaging system based on 2D LIDAR and calibration with levenberg–marquardt optimization algorithm |
| title_full | Design of a mobile 3D imaging system based on 2D LIDAR and calibration with levenberg–marquardt optimization algorithm |
| title_fullStr | Design of a mobile 3D imaging system based on 2D LIDAR and calibration with levenberg–marquardt optimization algorithm |
| title_full_unstemmed | Design of a mobile 3D imaging system based on 2D LIDAR and calibration with levenberg–marquardt optimization algorithm |
| title_short | Design of a mobile 3D imaging system based on 2D LIDAR and calibration with levenberg–marquardt optimization algorithm |
| title_sort | design of a mobile 3d imaging system based on 2d lidar and calibration with levenberg marquardt optimization algorithm |
| topic | lidar 3D imaging point cloud calibration mobile |
| url | https://www.frontiersin.org/articles/10.3389/fphy.2022.993297/full |
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