P
Patrick Doherty
Researcher at Linköping University
Publications - 236
Citations - 5527
Patrick Doherty is an academic researcher from Linköping University. The author has contributed to research in topics: Knowledge representation and reasoning & Rough set. The author has an hindex of 39, co-authored 233 publications receiving 5250 citations. Previous affiliations of Patrick Doherty include University of Warsaw & Jinan University.
Papers
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Book ChapterDOI
A UAV search and rescue scenario with human body detection and geolocalization
Patrick Doherty,Piotr Rudol +1 more
TL;DR: This paper presents a challenging emergency services mission scenarios which involves search and rescue for injured civilians by UAVs and shows how far the UAVTech Lab has come in implementing and executing such a challenging mission in realistic urban scenarios.
Proceedings ArticleDOI
Human Body Detection and Geolocalization for UAV Search and Rescue Missions Using Color and Thermal Imagery
Piotr Rudol,Patrick Doherty +1 more
TL;DR: A technique which allows detecting humans at a high frame rate on standard hardware onboard an autonomous UAV in a real-world outdoor environment using thermal and color imagery and a map of points of interest is built.
Proceedings ArticleDOI
An Integrated UAV Navigation System Based on Aerial Image Matching
Gianpaolo Conte,Patrick Doherty +1 more
TL;DR: A vision based navigation system which combines inertial sensors, visual odometer and registration of a UAV on-board video to a given geo-referenced aerial image has been developed and tested on real flight-test data and shows that it is possible to extract useful position information from aerial imagery even when the UAV is flying at low altitude.
Proceedings Article
The WITAS Unmanned Aerial Vehicle project
Patrick Doherty,Gösta H. Granlund,Krzystof Kuchcinski,Erik Sandewall,Klas Nordberg,Erik Skarman,Johan Wiklund +6 more
TL;DR: A number of topics considered are knowledge representation issues, active vision systems and their integration with deliberative/reactive architectures, helicopter modeling and control, ground operator dialogue systems, actual physical platforms, and a number of simulation techniques.
Journal ArticleDOI
Vision-based unmanned aerial vehicle navigation using geo-referenced information
Gianpaolo Conte,Patrick Doherty +1 more
TL;DR: A vision-based navigation architecture which combines inertial sensors, visual odometry, and registration of the on-board video to a geo-referenced aerial image is proposed which is capable of providing high-rate and drift-free state estimation for UAV autonomous navigation without the GPS system.