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http://hdl.handle.net/10668/12069
Title: | Analysis of 3D Scan Measurement Distribution with Application to a Multi-Beam Lidar on a Rotating Platform. |
Authors: | Morales, Jesús Plaza-Leiva, Victoria Mandow, Anthony Gomez-Ruiz, Jose Antonio Serón, Javier García-Cerezo, Alfonso |
Keywords: | 3D laser scanner;3D scan pattern analysis;multi-beam lidar;spatial data analysis;tilting mechanism |
Issue Date: | 30-Jan-2018 |
Abstract: | Multi-beam lidar (MBL) rangefinders are becoming increasingly compact, light, and accessible 3D sensors, but they offer limited vertical resolution and field of view. The addition of a degree-of-freedom to build a rotating multi-beam lidar (RMBL) has the potential to become a common solution for affordable rapid full-3D high resolution scans. However, the overlapping of multiple-beams caused by rotation yields scanning patterns that are more complex than in rotating single beam lidar (RSBL). In this paper, we propose a simulation-based methodology to analyze 3D scanning patterns which is applied to investigate the scan measurement distribution produced by the RMBL configuration. With this purpose, novel contributions include: (i) the adaption of a recent spherical reformulation of Ripley's K function to assess 3D sensor data distribution on a hollow sphere simulation; (ii) a comparison, both qualitative and quantitative, between scan patterns produced by an ideal RMBL based on a Velodyne VLP-16 (Puck) and those of other 3D scan alternatives (i.e., rotating 2D lidar and MBL); and (iii) a new RMBL implementation consisting of a portable tilting platform for VLP-16 scanners, which is presented as a case study for measurement distribution analysis as well as for the discussion of actual scans from representative environments. Results indicate that despite the particular sampling patterns given by a RMBL, its homogeneity even improves that of an equivalent RSBL. |
URI: | http://hdl.handle.net/10668/12069 |
metadata.dc.identifier.doi: | 10.3390/s18020395 |
Appears in Collections: | Producción 2020 |
Files in This Item:
File | Size | Format | |
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PMC5856095.pdf | 18,22 MB | Adobe PDF | View/Open |
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