2 citations · 3 across the 10 of their papers we have counts for
4 papers · 1 filter
Challenges and Research Directions from the Operational Use of a Machine Learning Damage Assessment System via Small Uncrewed Aerial Systems at Hurricanes Debby and Helene
Thomas Manzini, Priyankari Perali, Robin R. Murphy +1
This paper details four principal challenges encountered with machine learning (ML) damage assessment using small uncrewed aerial systems (sUAS) at Hurricanes Debby and Helene that…
Using an Uncrewed Surface Vehicle to Create a Volumetric Model of Non-Navigable Rivers and Other Shallow Bodies of Water
Jayesh Tripathi, Robin Murphy
Non-navigable rivers and retention ponds play important roles in buffering communities from flooding, yet emergency planners often have no data as to the volume of water that they…
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…