Design, Implementation and Testing of a Vision System for Small Unmanned Vertical Take off and Landing Vehicles with Strict Payload Limitations

Alternative designs of a simple, low cost and effective vision system for small, portable, unmanned aerial vertical take off and landing (VTOL) vehicles are presented. Design configurations follow the ‘on-board’ and ‘on-the-ground’ processing concept and they depend on very strict payload limitations and power supply restrictions. Hardware and software components for both designs are described; advantages and disadvantages of both alternatives are compared; computational complexity is calculated and trade offs are discussed. Implementations on a series of small unmanned VTOL vehicles as well as testing details are included and experimental results are presented.

[1]  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.

[2]  Omead Amidi,et al.  An autonomous vision-guided helicopter , 1996 .

[3]  Eric N. Johnson,et al.  FLIGHT SIMULATION FOR THE DEVELOPMENT OF AN EXPERIMENTAL UAV , 2002 .

[4]  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.

[5]  Carlos L. Castillo,et al.  Modeling and visualization of multiple autonomous heterogeneous vehicles , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

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

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

[8]  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.

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

[10]  E.N. Johnson,et al.  The 1996 MIT/Boston University/Draper Laboratory autonomous helicopter system , 1996, 15th DASC. AIAA/IEEE Digital Avionics Systems Conference.

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

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

[13]  Carlos L. Castillo,et al.  Small scale helicopter analysis and controller design for non-aggressive flights , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

[14]  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).

[15]  Alison A. Proctor,et al.  Development of an Autonomous Aerial Reconnaissance System at Georgia Tech , 2002 .

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

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

[18]  Gaurav S. Sukhatme,et al.  Vision-based autonomous landing of an unmanned aerial vehicle , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).