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Three Dimensional Intruder Closest Point of Approach Estimation Based-on Monocular Image Parameters in Aircraft Sense and Avoid

Motto: ’Almost Everything from Almost Nothing’
  • Peter Bauer
  • Antal Hiba
  • Jozsef Bokor
  • Akos Zarandy
Article
  • 40 Downloads

Abstract

The paper deals with monocular image-based sense and avoid assuming constant aircraft velocities and straight flight paths. From very limited two dimensional image information it finally characterizes the whole three dimensional collision situation by estimating the time to closest point of approach, the horizontal relative distance and its direction and the vertical relative distance also. The distances are relative to the intruder aircraft horizontal and vertical sizes. The overall estimated relative distance is the closest between the two aircraft in three dimension. So finally, every important information can be extracted to be used in a collision decision. The applicability of the developed method is presented in software-in-the-loop simulation test runs. Several intruder size and speed values are considered together with trajectories covering the whole three dimensional space. The horizontal intruder flight directions relative to the own aircraft cover 360 and the intruder can come from below ar above also. Detailed evaluation and discussion of the results is also included. Finally, the missed detection rate results to be superior (below 3% in every test scenario) though the false alarm rate results a bit high between 7–14%.

Keywords

Sense and avoid Monocular camera Closest point of approach Intruder direction 

Mathematics Subject Classification (2010)

93C41 93A30 93C85 

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Notes

Acknowledgments

The research leading to these results has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 690811 and the Japan New Energy and Industrial Technology Development Organization under grant agreement No. 062600 as a part of the EU/Japan joint research project entitled ’Validation of Integrated Safety-enchanced Intelligent flight cONtrol (VISION)’ This work was also supported by the Institute for Computer Science and Control (SZTAKI) Grant Number 008. The authors greatly appreciate the work of the reviewers which helped to improve the overall quality of the paper.

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© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Systems and Control Laboratory, Institute for Computer Science and ControlHungarian Academy of Sciences (MTA SZTAKI)BudapestHungary
  2. 2.Computational Optical Sensing and Processing Laboratory, Institute for Computer Science and ControlHungarian Academy of Sciences (MTA SZTAKI)BudapestHungary

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