most citedCRASAR-U-DROIDs: A Large Scale Benchmark Dataset for Building Alignment and Damage Assessment in Georectified sUAS Imagery

2 citations · 4 across the 6 of their papers we have counts for

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cs.CV2024★ 2 cited

CRASAR-U-DROIDs: A Large Scale Benchmark Dataset for Building Alignment and Damage Assessment in Georectified sUAS Imagery

Thomas Manzini, Priyankari Perali, Raisa Karnik +1

This document presents the Center for Robot Assisted Search And Rescue - Uncrewed Aerial Systems - Disaster Response Overhead Inspection Dataset (CRASAR-U-DROIDs) for building dama…

cs.CV2023★ 1 cited

Open Problems in Computer Vision for Wilderness SAR and The Search for Patricia Wu-Murad

Thomas Manzini, Robin Murphy

This paper details the challenges in applying two computer vision systems, an EfficientDET supervised learning model and the unsupervised RX spectral classifier, to 98.9 GB of dron…