An Experimental Study of the Autonomous Helicopter Landing Problem

We present the design and implementation of a real-time, vision-based landing algorithm for an autonomous helicopter. The landing algorithm is integrated with algorithms for visual acquisition of the target (a helipad), and navigation to the target, from an arbitrary initial position and orientation. We use vision for precise target detection and recognition and a combination of vision and GPS for navigation. The helicopter updates its landing target parameters based on vision and uses an on board behavior-based controller to follow a path to the landing site. We present significant results from flight trials in the field which demonstrate that our detection, recognition and control algorithms are accurate, robust and repeatable.

[1]  S. Shankar Sastry,et al.  Multiple view motion estimation and control for landing an unmanned aerial vehicle , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[2]  Maja J. Mataric,et al.  Behaviour-based control: examples from navigation, learning, and group behaviour , 1997, J. Exp. Theor. Artif. Intell..

[3]  Maja J. Matari,et al.  Behavior-based Control: Examples from Navigation, Learning, and Group Behavior , 1997 .

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

[5]  Gaurav S. Sukhatme,et al.  Towards vision-based safe landing for an autonomous helicopter , 2002, Robotics Auton. Syst..

[6]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.

[7]  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).

[8]  George A. Bekey,et al.  Learning helicopter control through "teaching by showing" , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

[9]  M. Srinivasan,et al.  Landing Strategies in Honeybees, and Possible Applications to Autonomous Airborne Vehicles , 2001, The Biological Bulletin.

[10]  Bruno Sinopoli,et al.  Vision based navigation for an unmanned aerial vehicle , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).