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Multi-resolution visual fiducial and assistant navigation system for unmanned aerial vehicle landing

  • Published:2017-08 Issue: Volume:67 Page:249-256
  • ISSN:1270-9638
  • Container-title:Aerospace Science and Technology
  • language:en
  • Short-container-title:Aerospace Science and Technology

Author:

Yu Chong,Cai Jiyuan,Chen Qingyu

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference13 articles.

1. Autonomous landing of mavs on an arbitrarily textured landing site using onboard monocular vision;Yang;J. Intell. Robot. Syst.,2014

2. Autonomous navigation, landing and recharge of a quadrotor using artificial vision;Cocchioni,2014

3. A GPU accelerated real-time self-contained visual navigation system for UAVs;Guan,2012

4. Study on ellipse fitting problem for vision-based autonomous landing of an UAV;Jung,2014

5. Autonomous landing system for aerial mobile robot cooperation;Lee;IEEE Int. Symp. Soft Comput. Intell. Syst.,2014

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4. An optimization-based selection approach of landing sites for swarm unmanned aerial vehicles in unknown environments;Expert Systems with Applications;2022-10

5. Sensitivity study of fiducial-aided navigation of Unmanned Aerial Vehicles;Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering;2022-02-22
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