A UAV Search and Rescue Scenario with Human Body Detection and Geolocalization

By Patrick Doherty, Piotr Rudol. Australian Conference on Artificial Intelligence, 2007

334 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/c6dffdbef653b95a127caf50a5a08dabeff64cfd

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In Aerospace Engineering

In Computer Vision and Pattern Recognition

Citations in the corpus

Human Body Detection and Geolocalization for UAV Search and Rescue Missions Using Color and Thermal Imagery (2008, background): “Details of the complete mission (supply delivery planning etc.) can be found in [ 17 ].”
A Fully-Autonomous Aerial Robot for Search and Rescue Applications in Indoor Environments using Learning-Based Techniques (2018, background): “Early developments in high-level artificial intelligence applied to aerial robotics were introduced in Doherty et al. [14].”
Unmanned Aerial Vehicles for Search and Rescue: A Survey (2023, methodology): “The paper [87] utilizes thermal and RGB cameras on the UAV to localize the victim autonomously.”
Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges (2018, neutral): “These videos and images are analyzed by the rescue team to direct the SAR operations optimally [42].”
Supporting Search and Rescue Operations with UAVs (2010, background): “The growing recognition of the potential of using UAVs for search and rescue applications is supported by an increasing number of works in the areas of image recognition for victim detection, path planning and task allocation [2]–[4].”
Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides (2020, positive): “…increasing interest has been seen in autonomous UAVs and their applications including recognition and surveillance, human body detection and geolocalization, search and rescue, forest ﬁ re detection (Bhaskaranand and Gibson, 2011; Doherty and Rudol, 2007; Tomic et al., 2012; Merino et al., 2006).”