A Vision-Based Approach for Unmanned Aerial Vehicle Landing

Author:

Patruno C.ORCID,Nitti M.,Petitti A.,Stella E.,D’Orazio T.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Industrial and Manufacturing Engineering,Mechanical Engineering,Control and Systems Engineering,Software

Reference53 articles.

1. Al-Kaff, A., Martn, D., Garca, F., de la Escalera, A., Armingol, J.M.: Survey of computer vision algorithms and applications for unmanned aerial vehicles. Expert Syst. Appl. 92(C), 447–463 (2017)

2. Balamurugan, G., Valarmathi, J., Naidu, V.P.S.: Survey on Uav Navigation in Gps Denied Environments. In: IEEE International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), 198–204 (2016)

3. Benini, A., Rutherford, M.J., Valavanis, K.P.: Real-Time, Gpu-Based Pose Estimation of a Uav for Autonomous Takeoff and Landing. In: IEEE International Conference on Robotics and Automation (ICRA), 3463–3470 (2016)

4. Bonak, M., Matko, D.: Blaic: Quadrocopter hovering using position-estimation information from inertial sensors and a high-delay video system. J. Intell. Robot. Syst. 67(1), 43–60 (2012)

5. Camera, V.: Available from: http://www.vicon.com/products/camera-systems/bonita/ . Accessed: 2018-01-08

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