151. An Improved Vision-based Algorithm for Unmanned Aerial Vehicles Autonomous Landing
- Author
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Hailong Pei and Yunji Zhao
- Subjects
Color histogram ,Speedup ,Matching (graph theory) ,Vision based ,Computer science ,color histogram ,Frame (networking) ,SURF ,Physics and Astronomy(all) ,Tracking (particle physics) ,autonomous landing ,camshaft ,Feature (computer vision) ,Control system ,Algorithm - Abstract
In vision-based autonomous landing system of UAV, the efficiency of target detecting and tracking will directly affect the control system. The improved algorithm of SURF(Speed Up Robust Features) will resolve the problem which is the inefficiency of the SURF algorithm in the autonomous landing system. The improved algorithm is composed of three steps: first, detect the region of the target using the Camshift; 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 experiment and theoretical analysis testify the efficiency of the algorithm.
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