Calibration Algorithm for a 3D Scanner Based on 2D Lidar and Visible Light Cameras

被引：0

作者：

Gulvanskii, Vyacheslav ^{[1
]}

Minenko, Maxim ^{[1
]}

Gavrilov, Georgii ^{[1
]}

Bratchenko, Lev ^{[1
]}

Kaplun, Dmitrii ^{[1
,2
]}

Shen, Zhirong ^{[3
]}

机构：

[1] St Petersburg Electrotech Univ LETI, Dept Automat & Control Proc, St Petersburg, Russia

[2] China Univ Min & Technol, Artificial Intelligence Res Inst, Xuzhou, Jiangsu, Peoples R China

[3] Xiamen Univ, Xiamen, Fujian, Peoples R China

来源：

2024 13TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING, MECO 2024 | 2024年

关键词：

3D scanner; 2D lidar; camera; calibration; EXTRINSIC CALIBRATION;

D O I：

10.1109/MECO62516.2024.10577815

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Various sensors, including lasers, are used for 3D reconstruction. 3D lasers are expensive and have limitations in their use. This paper describes an approach to joint calibration of 2D lidar and camera sensors using different calibration objects. The stability of the algorithms to measurement errors produced by the lidar and to errors associated with determining the external parameters of the camera is analyzed. Limitations on the calibration object, which can be used for separate calibration of the 2D lidar from the camera, are described.

引用

页码：274 / 278

页数：5

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