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

Zhiyu Shao; Zhengang Nie; Yuan Feng; Shunshan Feng

doi:10.1117/12.855489

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

Zhiyu Shao^*, Zhengang Nie, Yuan Feng, Shunshan Feng

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	International Conference on Space Information Technology 2009
DOIs	https://doi.org/10.1117/12.855489
Publication status	Published - 2010
Event	International Conference on Space Information Technology 2009 - Beijing, China Duration: 26 Nov 2009 → 27 Nov 2009

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7651
ISSN (Print)	0277-786X

Conference

Conference	International Conference on Space Information Technology 2009
Country/Territory	China
City	Beijing
Period	26/11/09 → 27/11/09

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10.1117/12.855489

Cite this

@inproceedings{9fcfc43ff6e54d11b3b29149d95b1e05,

title = "Fixed-point auto-landing algorithm for UAV based on point tracking",

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.",

author = "Zhiyu Shao and Zhengang Nie and Yuan Feng and Shunshan Feng",

year = "2010",

doi = "10.1117/12.855489",

language = "English",

isbn = "9780819480798",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "International Conference on Space Information Technology 2009",

note = "International Conference on Space Information Technology 2009 ; Conference date: 26-11-2009 Through 27-11-2009",

}

Shao, Z, Nie, Z, Feng, Y & Feng, S 2010, Fixed-point auto-landing algorithm for UAV based on point tracking. in International Conference on Space Information Technology 2009., 76512P, Proceedings of SPIE - The International Society for Optical Engineering, vol. 7651, International Conference on Space Information Technology 2009, Beijing, China, 26/11/09. https://doi.org/10.1117/12.855489

Fixed-point auto-landing algorithm for UAV based on point tracking. / Shao, Zhiyu; Nie, Zhengang; Feng, Yuan et al.
International Conference on Space Information Technology 2009. 2010. 76512P (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7651).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fixed-point auto-landing algorithm for UAV based on point tracking

AU - Shao, Zhiyu

AU - Nie, Zhengang

AU - Feng, Yuan

AU - Feng, Shunshan

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

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U2 - 10.1117/12.855489

DO - 10.1117/12.855489

M3 - Conference contribution

AN - SCOPUS:77953385996

SN - 9780819480798

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - International Conference on Space Information Technology 2009

T2 - International Conference on Space Information Technology 2009

Y2 - 26 November 2009 through 27 November 2009

ER -

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

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