Visual Pose Estimation Method for Rotor UAVs Autonomous Landing

GAO Fei-fei; CHEN Nian-nian; FAN Yong; WU Ling

doi:10.3969/j.issn.1671-637x.2017.02.007

[2] SKOCZYLAS M. Vision analysis system for autonomous landing of micro drone［J］. Acta Mechanica et Automatica, 2014, 8(4): 199-203.

[4] XU G L, QI X P, ZENG Q H, et al. Use of land''s cooperative object to estimate UAV''s pose for autonomous landing［J］. Chinese Journal of Aeronautics, 2013, 26(6): 1498-1505.

[6] YANG S, SCHERER S A, SCHAUWECKER K, et al. Autonomous landing of MAVs on an arbitrarily textured landing site using onboard monocular vision［J］. Journal of Intelligent & Robotic Systems, 2014, 74(1/2): 27-43.

[7] YUAN H, XIAO C, WEN Y, et al. Visual pose measurement system for VTOL UAV autonomous landing［C］//International Conference on Information and Automation, IEEE, 2015. doi: 10. 1109/ICInfA. 2015. 7279450.

[8] GIOI R G V, JAKUBOWICZ J, MOREL J M, et al. LSD: a line segment detector［J］. Image Processing on Line, 2012, 2(4): 35-55.

[11] [11] TANG D Q, CHEN Y, KOU K H. Navigation method based on the solution to PnP problem for autonomous landing of UAV [ C ]//Proceedings of IEEE Chinese Guidance, Navigation and Control Conference ( CGNCC), 2014. doi: 10. 1109/CGNCC. 2014. 7007529.