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The Probability of Near Midair Collisions Using Level-Crossings
Saab Aerosystems, Sweden.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2008 (English)In: Proceedings of the '08 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, 1525-1528 p.Conference paper, Published paper (Refereed)
Abstract [en]

We consider probabilistic methods to compute the near midair collision risk using state estimate and covariance from a target tracking filter based on angle-only sensors such as digital video cameras. Existing work is only concerned with risk estimation at a certain time instant, while the focus here is to compute the integrated risk over the critical time horizon. This novel formulation leads to evaluating the probability for level-crossing. The analytic expression for this involves a multi-dimensional integral which is hardly tractable in practice. Further, a huge number of Monte Carlo simulations would be needed to get sufficient reliability for the small risks that the applications require. Instead, we propose a sound numerical approximation that leads to a one-dimensional integral which is suitable for real-time implementations.

Place, publisher, year, edition, pages
2008. 1525-1528 p.
Keyword [en]
Near midair collision, Collision avoidance, UAV, Target tracking, Level-crossings
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-75359DOI: 10.1109/ICASSP.2008.4517912ISI: 000257456701043ISBN: 978-1-4244-1484-0 (print)ISBN: 978-1-4244-1483-3 (print)OAI: oai:DiVA.org:liu-75359DiVA: diva2:506171
Conference
'08 IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, NV, USA, March-April, 2008
Available from: 2012-02-28 Created: 2012-02-28 Last updated: 2013-09-15

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Gustafsson, Fredrik

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf