38 citations · 60 across the 15 of their papers we have counts for
5 papers · 1 filter
Improving Drone Imagery For Computer Vision/Machine Learning in Wilderness Search and Rescue
Robin Murphy, Thomas Manzini
This paper describes gaps in acquisition of drone imagery that impair the use with computer vision/machine learning (CV/ML) models and makes five recommendations to maximize image…
Differentiable Boustrophedon Paths That Enable Optimization Via Gradient Descent
Thomas Manzini, Robin Murphy
This paper introduces a differentiable representation for the optimization of boustrophedon path plans in convex polygons, explores an additional parameter of these path plans that…
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…
Quantitative Data Analysis: CRASAR Small Unmanned Aerial Systems at Hurricane Ian
Thomas Manzini, Robin Murphy, David Merrick
This paper provides a summary of the 281 sorties that were flown by the 10 different models of small unmanned aerial systems (sUAS) at Hurricane Ian, and the failures made in the f…
Wireless Network Demands of Data Products from Small Uncrewed Aerial Systems at Hurricane Ian
Thomas Manzini, Robin Murphy, David Merrick +1
Data collected at Hurricane Ian (2022) quantifies the demands that small uncrewed aerial systems (UAS), or drones, place on the network communication infrastructure and identifies…