Dense point cloud acquisition with a low-cost Velodyne VLP-16 release_p6oxs77jh5d6xmivqgl5nna3nu

by Jason Bula, Marc-Henri Derron, Grégoire Mariéthoz

Released as a post by Copernicus GmbH.

2020  

Abstract

<p><strong>Abstract.</strong> This study develops a method to acquire dense point clouds with a low-cost Velodyne VLP-16 lidar system, without using expensive GNSS positioning or IMU. Our setting consists in mounting the lidar on a motor to continuously change the scan direction, which leads to a significant increase in the point cloud density. A post-treatment reconstructs the position of each point accounting for the motor angle at the time of acquisition, and a calibration step accounts for inaccuracies in the hardware assemblage. The system is tested in indoors settings such as buildings and abandoned mines, but is also expected to give good results outdoors. It is also compared with a more expensive system based on IMU registration and a SLAM algorithm. The alignment between acquisitions with those two systems is within a distance of 2 cm.</p>
In application/xml+jats format

Archived Files and Locations

application/pdf   7.3 MB
file_eggu54h3gzhkzjbjz4dw3rjhjq
www.geosci-instrum-method-data-syst-discuss.net (publisher)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  post
Stage   unknown
Date   2020-03-04
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: ad0370e8-5fa0-4707-8fd3-bd71265114af
API URL: JSON