A Cost Effective Tracking System for Small Unmanned Aerial Systems

Author:

Kontitsis Michail,Valavanis Kimon

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

Reference32 articles.

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2. Vision hardware. University of Southern California. http://www-robotics.usc.edu/~avatar/vision_hw.htm (2004). Accessed 27 Jan 2005

3. Mejias, L., Saripalli, S., Sukhatme, G., Cervera, P.: Detection and tracking of external features in an urban environment using an autonomous helicopter. In: IEEE International Conference on Robotics and Automation (2005)

4. Hrabar, S., Sukhatme, G.S.: A comparison of two camera configurations for optic-flow based navigation of a UAV through urban canyons. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2673–2680 (2004)

5. Sattigeri, R., Calise, A.J.: An adaptive approach to vision based information control. In: Guidance, Navigation and Control Conference, no. AIAA-2003–5727, Austin, TX (2003)

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1. Design, implementation, and verification of a low‐cost terminal guidance system for small fixed‐wing UAVs;Journal of Field Robotics;2021-01-12

2. Wind-driven land-yacht robot mathematical modeling and verification;Industrial Robot: An International Journal;2016-01-18

3. Development of an autonomous unmanned aerial vehicle using gas-powered RC helicopter;Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering;2014-12-19

4. Vision-Based Detection and Tracking of a Mobile Ground Target Using a Fixed-Wing UAV;International Journal of Advanced Robotic Systems;2014-01-01

5. Adaptive Fuzzy Weighted Template Matching Using Invariant Features for a Tracking Application;IFAC Proceedings Volumes;2010

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