Fixed-point auto-landing algorithm for UAV based on point tracking

Zhiyu Shao; Zhengang Nie; Yuan Feng; Shunshan Feng

doi:10.1117/12.855489

2 April 2010 Fixed-point auto-landing algorithm for UAV based on point tracking

Zhiyu Shao, Zhengang Nie, Yuan Feng, Shunshan Feng

Proceedings Volume 7651, International Conference on Space Information Technology 2009; 76512P (2010) https://doi.org/10.1117/12.855489
Event: International Conference on Space Information Technology 2009, 2009, Beijing, China

Abstract

A new automatic fixed-point landing algorithm for UAV using the instantaneous speed obtained by image sensors and computer vision method is proposed. In the proposed scheme, once the specified land pad for landing is captured, the UAV will switch from auto-seeking mode to landing mode. In the landing mode, the feature point of the prospective zone is extracted and then being tracked. The noise in the motion parameter introduced by the feature point mismatching is reduced by fast iterative least square algorithm, and the accurate instantaneous speed of UAV is obtained. The simulation results show that the proposed algorithm efficiently improve the accuracy of the estimation of instantaneous velocity for the fixed-point landing system of UAV.

Citation Download Citation

Zhiyu Shao, Zhengang Nie, Yuan Feng, and Shunshan Feng "Fixed-point auto-landing algorithm for UAV based on point tracking", Proc. SPIE 7651, International Conference on Space Information Technology 2009, 76512P (2 April 2010); https://doi.org/10.1117/12.855489

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