2016 · 40 citations · 3 references
ComputingAutonomous SystemsGeoinformaticsComputer VisionSearch And RescueUnmanned Aircraft SystemsGeospatial Computer VisionPhotogrammetryRemote Sensing ImageryRescue RoboticsSurveillance ApplicationsVictim DetectionAccuracyAerial Search And Rescue RoboticsGeolocation AnalysisHuman DetectionHuman Presence DetectionUnmanned Aerial Vehicle ImagingUnmanned Aerial Vehicle PhotogrammetryUnmanned Aerial Vehicle Remote Sensing
The research focuses on the implementation of a human detection and geolocation system using aerial drones to complement search and rescue. The study includes the characterization of the human detection system for thermal and optical imagery by determining the frame accuracy, true and false positive rates. Geolocation was achieved using triangulated-adjusted GPS data and integration of Google Maps.
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