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arXiv Computer Vision By Dibyayan Patra, Simit Raval, Pasindu Ranasinghe, Bikram Banerjee, Ismet Canbulat

An Automated Georeferencing Technique for Multi-Temporal Stope Point Clouds for Downstream Geotechnical Analysis

Read the original on arXiv Computer Vision →

The paper introduces 3D-TARGeT, an automated method that uses inexpensive rectangular tags to register and georeference multi‑temporal UAV laser scans of underground mine stopes. By combining tag detection, geometric matching, and rigid transformation estimation, the technique achieves centimetre‑level accuracy, outperforming conventional automatic registration methods. The authors validated the approach on four simulated stope scans, demonstrating its potential to streamline data integration for geotechnical analysis and mine planning.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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