Affiliation:
1. Henan Polytechnic University
2. South China University of Technology
Abstract
In vision-based autonomous landing system of UAV (Unmanned Aerial Vehicle), the efficiency of object detection and tracking will directly affect the control system. An improved algorithm of SURF (Speed Up Robust Features) will resolve the problem which is inefficiency of the SURF algorithm in the autonomous landing system of UAV. The improved algorithm is composed of three steps: first, detect the region of the target using the Camshift algorithm; second, detect the feature points in the region of the above acquired using the SURF algorithm; third, do the matching between the template target and the region of target in frame. The results of experiments and theoretical analysis testify the efficiency of the algorithm.
Publisher
Trans Tech Publications, Ltd.
Reference21 articles.
1. O. Amidi, 1996, An autonomous vision-guided helicopter, Ph.D. dissertation, Robotics Institute, Carnegie Mellon University.
2. O. Amidi, T. Kanade, and K. Fujita, 1999, A Visual Odometer for Autonomous Helicopter Flight, Robotics and Autonomous Systems, 28, 185-193.
3. Saripalli S, MontgomeryJ. F, Sukhatme, G. S, 2002, Vision-based autonomous landing of an unmanned aerial vehicle, IEEE International Conference on Robotics and Automation, 3, 2799 – 2804.
4. Srikanth Saripalli and Gaurav S Sukhatme, 2006, Landing on a Moving Target using an Autonomous Helicopter, Field and service robotics, 24, 277-286.
5. Srikanth Saripalli, James F. Montgomery, and Gaurav S. Sukhatme, 2003, Visually-Guided Landing of an Unmanned Aerial Vehicle, IEEE Transactions on Robotics and Automation, 19/3, 371-381.
Cited by
3 articles.
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