Team Cappadocia Design for MAGIC 2010 (The ASELSAN Team)

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2010
Accession Number
ADA536538

Entities

People

  • Alper Erdener
  • Berkhan Deniz
  • Evrim O. Ari
  • Faruk Menguc
  • Kutalmis G. Ince
  • Ugur Kazancioglu
  • Yoldas Ataseven

Organizations

  • ASELSAN

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • C4I
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Cognitive Systems Engineering
  • Collision Avoidance
  • Control Systems
  • Dead Reckoning
  • Detection
  • Graphical User Interface
  • Ground Control Stations
  • Ground Vehicles
  • Image Processing
  • Information Systems
  • Measurement
  • Multiagent Systems
  • Sensor Fusion
  • Supervised Machine Learning
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Unmanned Vehicles

Readers

  • Robotics and Automation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - UAVs