Knowledge Representation and Unmanned Aerial Vehicles
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
DyKnow: An approach to middleware for knowledge processing
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - AILS '04
A temporal logic-based planning and execution monitoring framework for unmanned aircraft systems
Autonomous Agents and Multi-Agent Systems
Optimal placement of UV-based communications relay nodes
Journal of Global Optimization
Ground Target Tracking Using UAV with Input Constraints
Journal of Intelligent and Robotic Systems
Robust control of transition maneuvers for a class of V/STOL aircraft
Automatica (Journal of IFAC)
Feasibility study of mobile phone WiFi detection in aerial search and rescue operations
Proceedings of the 4th Asia-Pacific Workshop on Systems
Hi-index | 0.00 |
The use of Unmanned Aerial Vehicles (UAVs) which can operate autonomously in dynamic and complex operational environments is becoming increasingly more common. The UAVTech Lab, is pursuing a long term research endeavour related to the development of future aviation systems which try and push the envelope in terms of using and integrating high-level deliberative or AI functionality with traditional reactive and control components in autonomous UAV systems. In order to carry on such research, one requires challenging mission scenarios which force such integration and development. In this paper, one of these challenging emergency services mission scenarios is presented. It involves search and rescue for injured civilians by UAVs. In leg I of the mission, UAVs scan designated areas and try to identify injured civilians. In leg II of the mission, an attempt is made to deliver medical and other supplies to identified victims. We show how far we have come in implementing and executing such a challenging mission in realistic urban scenarios.