Estimating future aircraft intentions using short and long term behavior modeling

Morten Bisgaard; Anders la Cour-Harbo

doi:10.3182/20130902-5-DE-2040.00124

Estimating future aircraft intentions using short and long term behavior modeling

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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Abstract

In a scenario where two UAS can benefit from cooperation, but where one of the UAS is non-cooperative and only broadcasting very limited state information, there is a need for the second UAS to estimate the intentions of the first UAS. When the second UAS is capable of this they will be able to solve joint tasks faster even though the cooperation is only "one way". In this work we investigate a method for such an estimation. It is based on a short and a long term prediction of the intentions of the non-cooperative UAS, combined in a Kalman filter to provide a quantitative estimate of the intentions. The method is demonstrated on two helicopters semi-cooperating on covering a number of hot spots in field of crops.

Original language	English
Title of host publication	19th IFAC Symposium on Automatic Control in Aerospace
Publisher	Pergamon Press
Publication date	2013
Pages	72-77
DOIs	https://doi.org/10.3182/20130902-5-DE-2040.00124
Publication status	Published - 2013

Series	I F A C Workshop Series
Number	1
Volume	19
ISSN	1474-6670

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10.3182/20130902-5-DE-2040.00124

2013 IFAC ACA behaviourSubmitted manuscript, 468 KB

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ASETA : Adaptive Surveying and Early treatment of crops with a Team of Autonomous vehicles
la Cour-Harbo, A., Bak, T., Bendtsen, J. D., Bisgaard, M., Wulfson, D. & Griepentrog, H. W.
Det Strategiske Forskningsråd - Nabiit
01/01/2010 → 01/04/2014
Project: Research

Drone Research Lab
Anders la Cour-Harbo (Manager), Simon Jensen (Operator), Frank Høgh Rasmussen (Other), Jesper Dejgaard Meyer (Other), Aitor Ramirez Gomez (Other), O. M. Bektash (Other), Tobias Leth (Other), Luminita Cristiana Totu (Other), Jacob Naundrup Pedersen (Other), Stefano Primatesta (Other), Petr Gabrlik (Other) & Morten Bisgaard (Operator)
Department of Electronic Systems
Facility: Testing facility

Cite this

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abstract = "In a scenario where two UAS can benefit from cooperation, but where one of the UAS is non-cooperative and only broadcasting very limited state information, there is a need for the second UAS to estimate the intentions of the first UAS. When the second UAS is capable of this they will be able to solve joint tasks faster even though the cooperation is only {"}one way{"}. In this work we investigate a method for such an estimation. It is based on a short and a long term prediction of the intentions of the non-cooperative UAS, combined in a Kalman filter to provide a quantitative estimate of the intentions. The method is demonstrated on two helicopters semi-cooperating on covering a number of hot spots in field of crops.",

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doi = "10.3182/20130902-5-DE-2040.00124",

language = "English",

series = "I F A C Workshop Series",

publisher = "Pergamon Press",

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pages = "72--77",

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Estimating future aircraft intentions using short and long term behavior modeling. / Bisgaard, Morten; la Cour-Harbo, Anders.
19th IFAC Symposium on Automatic Control in Aerospace. Pergamon Press, 2013. p. 72-77 (I F A C Workshop Series; No. 1, Vol. 19).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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BT - 19th IFAC Symposium on Automatic Control in Aerospace

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Estimating future aircraft intentions using short and long term behavior modeling

Abstract

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Projects

ASETA : Adaptive Surveying and Early treatment of crops with a Team of Autonomous vehicles

Equipment

Drone Research Lab

Cite this