Aircraft collision avoidance using spherical visual predictive control and single point features

@article{McFadyen2013AircraftCA,
  title={Aircraft collision avoidance using spherical visual predictive control and single point features},
  author={Aaron McFadyen and Luis Mej{\'i}as Alvarez and Peter I. Corke and C{\'e}dric Pradalier},
  journal={2013 IEEE/RSJ International Conference on Intelligent Robots and Systems},
  year={2013},
  pages={50-56}
}
This paper presents practical vision-based collision avoidance for objects approximating a single point feature. Using a spherical camera model, a visual predictive control scheme guides the aircraft around the object along a conical spiral trajectory. Visibility, state and control constraints are considered explicitly in the controller design by combining image and vehicle dynamics in the process model, and solving the nonlinear optimization problem over the resulting state space. Importantly… CONTINUE READING
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Airborne collision scenario flight tests: impact of angle measurement errors on reactive vision-based avoidance control

  • T. Bruggemann, L. Mejias
  • Proc. 15th Australian Int. Aerospace, AIAC’13…
  • 2013
1 Excerpt

Visual servoing approach to collision avoidance for aircraft

  • A. Mcfadyen, L. Mejias
  • Proc. 28th Int. Congress of the Aeronautical…
  • 2012
2 Excerpts

Omnidirectional bearingonly see and avoid for small aerial robots

  • L. Mejias, I. Mondragon, P. Campoy
  • Proc. IEEE Int. Conf. Automation, Robotics and…
  • 2011
1 Excerpt

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