The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2017
Session ID : 1P1-R09
Conference information

3D Mapping using Small UAV with LiDAR in Disaster Environments
- Extrinsic Calibration of LiDAR and Accuracy Evaluation of 3D Map -
*Keisuke NIWAYusuke TAKAHASHITaro SUZUKIYoshiharu AMANO
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Keywords: UAV, 3D Mapping, GNSS, LiDAR
CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

This paper describes an extrinsic parameter calibration of light detection and ranging (LiDAR) for a 3D measurement system using an unmanned aerial vehicle (UAV). Recently, the use of small UAVs becomes widespread in 3D measurements because small UAVs are highly useful. We target 10 cm accuracy of 3D measurement aiming for use in disaster environments. 3D measurements using small UAV need estimating not only accurate position and attitude of UAV but also accurate extrinsic parameters of the LiDAR. We propose a calibration method of extrinsic parameters of the LiDAR using reflectors. The proposed method estimates the angle of the LiDAR that minimizes the RMS error of the distance between the reference points of the reflectors and the measured 3D points. As the result of the calibration, vertical RMS error of 3D measurements was 0.0408 m and horizontal RMS error was 0.0472 m.

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© 2017 The Japan Society of Mechanical Engineers
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