A Cost Effective Tracking System for Small Unmanned Aerial Systems

In this work we address the problem of object tracking in a largely unknown dynamic environment under the additional constraint of real-time operation and limited computational power. The main design directives remain that of real time execution and low price, high availability components. It is in a sense an investigation for the minimum required hardware and algorithmic complexity to accomplish the desired tasks. We present a system that is based on simple techniques such as template matching adapted for use in a dynamically changing environment. After development, the system was evaluated as to its suitability in a traffic monitoring application where it demonstrated adequate performance.

[1]  T. Kanade,et al.  Real-time and 3D vision for autonomous small and micro air vehicles , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[2]  S. Sastry,et al.  VISION-BASED DETECTION OF AUTONOMOUS VEHICLES FOR PURSUIT-EVASION GAMES , 2002 .

[3]  Aníbal Ollero,et al.  Motion compensation and object detection for autonomous helicopter visual navigation in the COMETS system , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[4]  Gaurav S. Sukhatme,et al.  Visually guided landing of an unmanned aerial vehicle , 2003, IEEE Trans. Robotics Autom..

[5]  David H. Douglas,et al.  ALGORITHMS FOR THE REDUCTION OF THE NUMBER OF POINTS REQUIRED TO REPRESENT A DIGITIZED LINE OR ITS CARICATURE , 1973 .

[6]  Gaurav S. Sukhatme,et al.  Omnidirectional vision for an autonomous helicopter , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[7]  Pascual Campoy Cervera,et al.  COLIBRI: A vision-Guided UAV for Surveillance and Visual Inspection , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[8]  Nicolas H. Franceschini,et al.  Visually guided micro-aerial vehicle: automatic take off, terrain following, landing and wind reaction , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[9]  Gaurav S. Sukhatme,et al.  Detection and Tracking of External Features in an Urban Environment Using an Autonomous Helicopter , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[10]  Isaac Kaminer,et al.  Vision-Based Tracking and Motion Estimation for Moving Targets Using Small UAVs , 2006 .

[11]  B. Woodley A Contestant in the 1997 International Aerial Robotics Competition. Aeroapce Robotics Laboratory Stanford University , 1997 .

[12]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[13]  Eric N. Johnson,et al.  Modeling and simulation for small autonomous helicopter development , 1997 .

[14]  Anthony J. Calise,et al.  An Adaptive Approach to Vision-based Formation Control , 2003 .

[15]  Gaurav S. Sukhatme,et al.  Visual servoing of an autonomous helicopter in urban areas using feature tracking , 2006, J. Field Robotics.

[16]  K. W. Dickinson,et al.  Computer vision and neural networks for traffic monitoring. , 1992 .

[17]  P. Campoy,et al.  Visual Model Feature Tracking For UAV Control , 2007, 2007 IEEE International Symposium on Intelligent Signal Processing.

[18]  Dah-Jye Lee,et al.  Real-time Feature Tracking on an Embedded Vision Sensor for Small Vision-guided Unmanned Vehicles , 2007, 2007 International Symposium on Computational Intelligence in Robotics and Automation.

[19]  Gaurav S. Sukhatme,et al.  A comparison of two camera configurations for optic-flow based navigation of a UAV through urban canyons , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[20]  G. Anitha,et al.  Vision Based Autonomous Landing of an Unmanned Aerial Vehicle , 2012 .

[21]  Patrick Doherty,et al.  Vision for a UAV helicopter , 2002 .

[22]  G. Vachtsevanos,et al.  Target Tracking and Adversarial Reasoning for Unmanned Aerial Vehicles , 2007, 2007 IEEE Aerospace Conference.

[23]  B. Woodley Carrier Phase GPS and Computer Vision for Control of an Autonomous Helicopter , 1996 .

[24]  Justin Lallinger,et al.  International Aerial Robotics Competition 2004 , 2004 .