Airborne behaviour monitoring using Gaussian processes with map information

dc.contributor.authorOh, Hyondong-
dc.contributor.authorShin, Hyosang-
dc.contributor.authorKim, Seungkeun-
dc.contributor.authorTsourdos, Antonios-
dc.contributor.authorWhite, Brian A.-
dc.date.accessioned2014-01-23T05:01:43Z
dc.date.available2014-01-23T05:01:43Z
dc.date.issued2013-07-31T00:00:00Z-
dc.description.abstractThis paper proposes an airborne behaviour monitoring methodology of ground vehicles based on a statistical learning approach with domain knowledge given by road map information. To monitor and track the moving ground target using UAVs aboard a moving target indicator, an interactive multiple model (IMM) filter is firstly applied. {\color{red}The IMM filter consists of an on-road moving mode using a road-constrained filter and an off-road moving mode using a conventional filter.} Mode probability is also calculated from the IMM filter, and it provides deviation of the vehicle from the road. Then, a novel hybrid algorithm for anomalous behaviour recognition is developed using a Gaussian process regression on velocity profile along the one-dimensionalised position of the vehicle, as well as the deviation of the vehicle. To verify the feasibility and benefits of the proposed approach, a numerical simulation is performed using realistic car trajectory data in a city traffic.en_UK
dc.identifier.citationHyondong Oh, Hyo-Sang Shin, Seungkeun Kim, Antonios Tsourdos, Brian A. White, Airborne behaviour monitoring using Gaussian processes with map information, IET Radar, Sonar & Navigation, Volume 7, Issue 4, April 2013, Pages 393 – 400.
dc.identifier.issn1751-8784-
dc.identifier.urihttp://dx.doi.org/10.1049/iet-rsn.2012.0255-
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/8093
dc.language.isoen_UK-
dc.publisherInstitution of Engineering and Technologyen_UK
dc.rightsThis paper is a postprint of a paper submitted to and accepted for publication in IET Radar, Sonar & Navigation and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library."
dc.titleAirborne behaviour monitoring using Gaussian processes with map informationen_UK
dc.typeArticle-

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