Goo, June M;
Li, Jialun;
Wicaksono, Darmawan;
Boehm, Jan;
(2025)
Checkerboard Target Measurement in Unordered Point Clouds with Coloured ICP.
In:
International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences ISPRS Archives.
(pp. pp. 529-534).
Copernicus GmbH: Dubai, UAE.
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Abstract
In this work we investigate the problem of measuring a checkerboard target’s centre in an 3D point cloud. This is an important problem which has applications in registration, long term monitoring and linking to other sensor systems. We use a 3D template matching approach based on the coloured ICP algorithm to solve the problem. We tackle the problem under the additional constraints that we assume no structure in the 3D data in order to be able to handle unordered point clouds. This gives us the capability to process data from the new generation of low-cost LIDAR sensors. This category of sensors also suffers from increased noise in range and reflectivity measurement. We provide extensive simulation results using synthetic data to capture the potential of the approach. We then give the detailed steps for handling real sensor data.
| Type: | Proceedings paper |
|---|---|
| Title: | Checkerboard Target Measurement in Unordered Point Clouds with Coloured ICP |
| Event: | ISPRS Geospatial Week 2025 “Photogrammetry & Remote Sensing for a Better Tomorrow…” |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.5194/isprs-archives-XLVIII-G-2025-529-2025 |
| Publisher version: | https://doi.org/10.5194/isprs-archives-XLVIII-G-20... |
| Language: | English |
| Additional information: | © The Author(s), 2025. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0/ |
| Keywords: | LIDAR, Point Cloud, Terrestrial, ICP, Registration, Target, Low-Cost, Automotive, Metrology |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10213166 |
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