Interoperable Open-Source Sensor-Net Frameworks with Sensor-Package Workbench Capabilities: Motivation, Survey of Resources, and Exploratory Results

Abstract : Low-cost sensor technologies, such as Micro-Aerial Vehicles (MAVs), present an opportunity to facilitate improved transformational Intelligence, Surveillance, Reconnaissance Targeting, and Information Operations (ISRT/IO) capabilities in support of tactical network-centric ISRT/IO Warfighter and First-Responder operations. There is an exigency for realistic rehearsal frameworks to enable efficient and rapid deployment of MAVs in support of ISRT/IO; physics-based 3D simulation and modeling capabilities improve mission planning and efficiency. The incorporation of Free Open Source Software (FOSS) such as the Naval Postgraduate School (NPS) Autonomous Unmanned Vehicle (AUV) workbench into the Sensor-net Self-Organization and Control (SenSOC) initiative enables highly reconfigurable realistic and dynamic mission planning capabilities thereby creating more responsive Systems-of-Systems Engineering (SOSE). The current work, reported herein, focuses on the incorporation of a scalable sensor-package in the NPS AUV platform-oriented modeling, simulation, and experimentation framework which would support operational use-cases and CONOPS (i.e. concepts of operation) for tactical ISRT/IO mission-threads and associated scenarios.

[1]  Curtis Blais,et al.  Rapid Scenario Generation for Multiple Simulations: An Application of the Military Scenario Definition Language (MSDL) , 2009 .

[2]  Daryl Lee,et al.  AUV Workbench: Integrated 3D for Interoperable Mission Rehearsal, Reality and Replay , 2004 .

[3]  Mehrübe Mehrübeoglu,et al.  Determination of vehicle density from traffic images at day and nighttime , 2007, Electronic Imaging.

[4]  Hugh F. Durrant-Whyte,et al.  Coordinated decentralized search for a lost target in a Bayesian world , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[5]  Kimon P. Valavanis,et al.  Advances in Unmanned Aerial Vehicles: State of the Art and the Road to Autonomy , 2007 .

[6]  Phillip R. Chandler,et al.  MultiUAV: a multiple UAV simulation for investigation of cooperative control , 2002, Proceedings of the Winter Simulation Conference.

[7]  Saikou Y. Diallo,et al.  Coalition Battle Management Language (C-BML) Phase 1 Specification Development: An Update to the M&S Community / Paper 09F-SIW-001 , 2009 .

[8]  J. Durham,et al.  Monitoring of natural scenes for feature extraction and tracking an independent component analysis (ICA) approach , 2004, 2004 IEEE International Conference onComputational Intelligence for Measurement Systems and Applications, 2004. CIMSA..

[9]  John J. Garstka.  Fighting the Networked Force , 2005 .

[10]  David Carter,et al.  Support for Flight Trajectories and Video Capture: Initial Results Using a Free Open Source Flight Simulator , 2010 .

[11]  Clark N. Taylor,et al.  Creation of geo-referenced mosaics from MAV video and telemetry using constrained optimization bundle adjustment , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[12]  Johan Wiklund,et al.  Vision-Based Multi-UAV Position Estimation Localization Based on Blob Features , 2006 .

[13]  A.S. Lomax,et al.  Employing unmanned aerial vehicles (UAVs) as an element of the Integrated Ocean Observing System , 2005, Proceedings of OCEANS 2005 MTS/IEEE.

[14]  E. Frazzoli,et al.  Micro UAV Path Planning for Reconnaissance in Wind , 2006, 2007 American Control Conference.

[15]  Curtis Blais,et al.  Discovery and Reuse of Modeling and Simulation Assets / Paper 10S-SIW-048 , 2009 .

[16]  Michael A. Goodrich,et al.  UAV intelligent path planning for Wilderness Search and Rescue , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[17]  Jayson T. Durham,et al.  Net-centric human-robotics operations: integration of business/military process management, grid computing, and robotics , 2004, Proceedings. IEEE International Conference on Web Services, 2004..

[18]  Don Brutzman.  Autonomous Unmanned Vehicle (AUV) Workbench Rehearsal and Replay: Mapping Diverse Vehicle Telemetry Outputs to Common XML Data Archives , 2007 .

[19]  Don Brutzman,et al.  X3D: Extensible 3D Graphics for Web Authors , 2007 .

[20]  Curtis Blais,et al.  Extending Capabilities of the Military Scenario Definition Language (MSDL) for Nontraditional Warfare Scenarios , 2009 .

[21]  Liang Feng,et al.  A method of wind field estimation and trajectory correction online in DR/GPS/RP integrated navigation of UAV , 2008, 2008 IEEE International Conference on Automation and Logistics.

[22]  GEORGE PIERCE JONES,et al.  An Assessment of Small Unmanned Aerial Vehicles for Wildlife Research , 2006 .

[23]  Ken Smith,et al.  Information interoperability and provenance for emergency preparedness and response , 2009, 2009 IEEE Conference on Technologies for Homeland Security.

[24]  Clark N. Taylor,et al.  An automatic system for creating geo-referenced mosaics from MAV video , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[25]  Ravi Vaidyanathan,et al.  Semi-autonomous micro air and ground vehicle control and video relay through internet and iridium networks , 2007 .

[26]  Clark N. Taylor,et al.  Cooperative navigation of MAVs In GPS denied areas , 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

[27]  Aníbal Ollero,et al.  A cooperative perception system for multiple UAVs: Application to automatic detection of forest fires , 2006, J. Field Robotics.

[28]  Tal Shima,et al.  UAV Cooperative Decision and Control: Challenges and Practical Approaches , 2008 .

[29]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

[30]  Gérard G. Medioni,et al.  Map-Enhanced UAV Image Sequence Registration and Synchronization of Multiple Image Sequences , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[31]  Salah Sukkarieh,et al.  SIMULATION OF MULTI-UAV MISSIONS IN A REAL-TIME DISTRIBUTED HARDWARE-IN-THE-LOOP SIMULATOR , 2007 .

[32]  Andreas Birk,et al.  Fast and robust photomapping with an Unmanned Aerial Vehicle (UAV) , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[33]  Byounghyun Yoo,et al.  X3D earth terrain-tile production chain for georeferenced simulation , 2009, Web3D '09.

[34]  Hoe Wai Leong.  Web Services Integration on the Fly , 2008 .

[35]  Lifford McLauchlan,et al.  Enabling a Common and Consistent Enterprise-Wide Terminology: An Initial Assessment of Available Tools , 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

[36]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[37]  Don Brutzman,et al.  The Autonomous Unmanned Vehicle Workbench: Mission Planning, Mission Rehearsal, and Mission Replay Tool for Physics-based X3D Visualization , 2005 .

[38]  Mehrübe Mehrübeoglu,et al.  Determination of traffic intensity from camera images using image processing and pattern recognition techniques , 2006, Electronic Imaging.

[39]  Erwan Bocher,et al.  An overview on current free and open source desktop GIS developments , 2009, Int. J. Geogr. Inf. Sci..

[40]  L. F. Perrone.  THE MIGRATION OF A COLLABORATIVE UAV TESTBED INTO THE FLAMES SIMULATION ENVIRONMENT , 2006 .

[41]  Greg Kogut,et al.  Land, sea, and air unmanned systems research and development at SPAWAR Systems Center Pacific , 2008, Defense + Commercial Sensing.