Team Cappadocia Design for MAGIC 2010 (The ASELSAN Team)

reportActive / Technical Report | Accession Number: ADA536538 | Open PDF

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.

Author(s):
Menguc, Faruk ; Erdener, Alper ; Ari, Evrim O. ; Ataseven, Yoldas ; Deniz, Berkhan ; Ince, Kutalmis G. ; Kazancioglu, Ugur
Author Organization(s):
ASELSAN INC ANKARA (TURKEY)
Descriptive Note:
Final rept. 1 Jan 2010-1 Jan 2011
Supplementary Note:
Presented at the Land Warfare Conference held in Brisbane, Nov 2010. Prepared in cooperation with The Ohio State University; The Middle East Technical University; and others. DOI: 10.21236/ADA536538
Pagination:
0029

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release; Distribution Is Unlimited.

RECORD

Collection: TR
Identifying Numbers
Contract/Grant Number(s):
FA2386-10-1-4026
Monitor Series:
AOARD
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_5.3_Planning; JCA_5.5_Direct; JCA_5.5.1_Communicate Intent and Guidance; JCA_5.3.2_Apply Situational Understanding; JCA_5.5.2_Task; JCA_5.4_Decide; JCA_5.2.2_Develop Knowledge and Situational Awareness; JCA_5.2_Understand; JCA_4.2.1_Manage Supplies and Equipment; JCA_4.2_Supply; JCA_2.1_Planning and Direction; JCA_1.2.3_Educating; JCA_4.6_Engineering; JCA_4.6.2_Combat Engineering
Modernization Areas:
Autonomy; AI and Machine Learning; Fully Networked C3
Communities of Interest:
Autonomy
Descriptor(s):
*GROUND VEHICLES, *ROBOTICS, *AUTONOMOUS NAVIGATION, *UNMANNED, INTERNATIONAL, SURVEILLANCE, RECONNAISSANCE, COOPERATION, DECISION MAKING, IMAGE PROCESSING, MILITARY INTELLIGENCE, SELF OPERATION
Field(s)/Group(s):
Cybernetics
Keyword(s):
MAGIC(MULTI AUTONOMOUS GROUND ROBOTIC INTERNATIONAL CHALLENGE), COOPERATIVE CONTROL, UNMANNED VEHICLES, AUTONOMOUS AGENTS AND MULTI AGENT SYSTEMS
Report Date:
2010 Nov 01
Creation Date:
2011 Feb 23