A simple low cost vision system for small unmanned VTOL vehicles

Alternative designs of a simple, low cost, effective vision system suitable for small, portable, unmanned vertical take off and landing (VTOL) vehicle based surveillance and landmark recognition are presented. Designs depend mainly on two critical constraints: aerial vehicle payload limitations and power supply limitations; both constraints affect on-board vision system configuration, processing power and flexibility. Hardware and software components are described for both designs. Advantages and disadvantages of both alternatives are compared and an implementation of the chosen system is presented along with experimental results.

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

[2]  Rangachar Kasturi,et al.  Machine vision , 1995 .

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

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

[5]  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).

[6]  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).

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

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

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

[10]  Rafael C. González,et al.  Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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