4 citations · 5 across the 6 of their papers we have counts for
6 papers
Evaluating an Adaptive Multispectral Turret System for Autonomous Tracking Across Variable Illumination Conditions
Aahan Sachdeva, Dhanvinkumar Ganeshkumar, James E. Gallagher +2
Autonomous robotic platforms are playing a growing role across the emergency services sector, supporting missions such as search and rescue operations in disaster zones and reconna…
Multi-temporal Adaptive Red-Green-Blue and Long-Wave Infrared Fusion for You Only Look Once-Based Landmine Detection from Unmanned Aerial Systems
James E. Gallagher, Edward J. Oughton, Jana Kosecka
Landmines remain a persistent humanitarian threat, with 110 million actively deployed mines across 60 countries, claiming 26,000 casualties annually. This research evaluates adapti…
AMLID: An Adaptive Multispectral Landmine Identification Dataset for Drone-Based Detection
James E. Gallagher, Edward J. Oughton
Landmines remain a persistent humanitarian threat, with an estimated 110 million mines deployed across 60 countries, claiming approximately 26,000 casualties annually. Current dete…
VORTEX: A Spatial Computing Framework for Optimized Drone Telemetry Extraction from First-Person View Flight Data
James E. Gallagher, Edward J. Oughton
This paper presents the Visual Optical Recognition Telemetry EXtraction (VORTEX) system for extracting and analyzing drone telemetry data from First Person View (FPV) Uncrewed Aeri…
Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challenges
James E. Gallagher, Edward J. Oughton
Multispectral imaging and deep learning have emerged as powerful tools supporting diverse use cases from autonomous vehicles, to agriculture, infrastructure monitoring and environm…
A Multispectral Automated Transfer Technique (MATT) for machine-driven image labeling utilizing the Segment Anything Model (SAM)
James E. Gallagher, Aryav Gogia, Edward J. Oughton
Segment Anything Model (SAM) is drastically accelerating the speed and accuracy of automatically segmenting and labeling large Red-Green-Blue (RGB) imagery datasets. However, SAM i…