MODULAR SENSOR "BRICKS" AND UNMANNED SYSTEMS FOR PERSISTENT LARGE AREA SURVEILLANCE

Monitoring of large outdoor areas requires significant manpower, equipment, planning, and the constant vigilance of security personnel. Ideally, we would like to replace the individual human responsibilities with automated solutions – minimizing both risk and cost if possible. Therefore, this paper proposes a modular robotic system designed to autonomously perform wide-area reconnaissance and intruder tracking in indoor/outdoor environments. The system employs a modular approach to the robotic architecture using a concept called sensor “bricks.” Using these bricks, we utilize a multi-robot system to maintain perimeter surveillance. A visual servo control algorithm in conjunction with perimeter camera emplacements is proposed to maximize overhead camera ability while allowing for high-resolution object inspection. Experiments show that these automated solutions allow for better overall monitoring with less human involvement. I. INTRODUCTION

[1]  Dan Schonfeld,et al.  Video tracking using block matching , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[2]  Maurizio Piaggio,et al.  Autonomous navigation and localization in service mobile robotics , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[3]  Jean Gao Self-occlusion immune video tracking of objects in cluttered environments , 2003, Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003..

[4]  F. Frances Yao,et al.  Computational Geometry , 1991, Handbook of Theoretical Computer Science, Volume A: Algorithms and Complexity.

[5]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[6]  Andreas Koschan,et al.  SAFER vehicle inspection: a multimodal robotic sensing platform , 2004, SPIE Defense + Commercial Sensing.

[7]  Yoram Koren,et al.  Potential field methods and their inherent limitations for mobile robot navigation , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[8]  José María Cañas,et al.  Perception and Tracking of Dynamic Objects for Optimization of Avoidance Strategies in Autonomous Piloting of Vehicles , 2004, Spatial Cognition.

[9]  Jeffrey Graham,et al.  Robot Tracking of Human Subjects in Field Environments , 2003 .

[10]  Pradeep K. Khosla,et al.  Distributed surveillance and reconnaissance using multiple autonomous ATVs: CyberScout , 2002, IEEE Trans. Robotics Autom..

[11]  Peter I. Corke,et al.  A new partitioned approach to image-based visual servo control , 2001, IEEE Trans. Robotics Autom..

[12]  Kazuhito Yokoi,et al.  Whole body teleoperation of a humanoid robot - a method of integrating operator's intention and robot's autonomy , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[13]  José Santos-Victor,et al.  Vision-based navigation and environmental representations with an omnidirectional camera , 2000, IEEE Trans. Robotics Autom..

[14]  Alexander Zelinsky,et al.  Preliminary experiments in visual servo control for autonomous underwater vehicle , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[15]  J. O'Rourke Art gallery theorems and algorithms , 1987 .

[16]  Andreas Koschan,et al.  Under Vehicle Inspection with 3d Imaging , 2007 .

[17]  Ezio Malis,et al.  Vision-based control invariant to camera intrinsic parameters: stability analysis and path tracking , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[18]  Bernard M. E. Moret,et al.  Three-coloring the vertices of a triangulated simple polygon , 1992, Pattern Recognit..

[19]  Kazuhito Yokoi,et al.  A stable foot teleoperation method for humanoid robots , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.