Team Cappadocia is participating in the Multi Autonomous Ground- robotic International Challenge (MAGIC 2010), with a set of fully autonomous ground vehicles that can execute an Intelligence, Surveillance and Reconnaissance (ISR) mission in a dynamic urban environment. The design incorporates dynamic mission planning with automatic task assignment and optimized route generation, automated object of interest detection and tracking, decision making, automatic Unmanned Air Vehicle (UAV) image processing, automated local and global map and information integration, and a novel system architecture with modules compliant with the Joint Architecture for Unmanned Systems (JAUS). The cooperators in the team formed under the leadership of ASELSAN Inc. of Turkey are The Ohio State University of USA (Control & Intelligent Transportation Research Lab), The Middle East Technical University (Robotics & Vision Labs), the Bilkent University (Robotics Lab) and the Bogazici University (AI Lab) of Turkey. During the period of the research, Team Cappadocia has put together and validated an UGV system in order to compete in the MAGIC 2010 challenge.
Team Cappadocia Design for MAGIC 2010 (The ASELSAN Team)
2010
29 pages
Report
Keine Angabe
Englisch
Computers, Control & Information Theory , Military Intelligence , Combat Vehicles , Ground vehicles , Robotics , Autonomous navigation , Unmanned , International , Surveillance , Reconnaissance , Cooperation , Decision making , Image processing , Military intelligence , Self operation , Magic(Multi-autonomous ground-robotic international challenge) , Cooperative control , Unmanned vehicles , Autonomous agents and multi-agent systems
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