Airborne behaviour monitoring using Gaussian processes with map information
dc.contributor.author | Oh, Hyondong | - |
dc.contributor.author | Shin, Hyosang | - |
dc.contributor.author | Kim, Seungkeun | - |
dc.contributor.author | Tsourdos, Antonios | - |
dc.contributor.author | White, Brian A. | - |
dc.date.accessioned | 2014-01-23T05:01:43Z | |
dc.date.available | 2014-01-23T05:01:43Z | |
dc.date.issued | 2013-07-31T00:00:00Z | - |
dc.description.abstract | This 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.citation | Hyondong 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.issn | 1751-8784 | - |
dc.identifier.uri | http://dx.doi.org/10.1049/iet-rsn.2012.0255 | - |
dc.identifier.uri | http://dspace.lib.cranfield.ac.uk/handle/1826/8093 | |
dc.language.iso | en_UK | - |
dc.publisher | Institution of Engineering and Technology | en_UK |
dc.rights | This 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.title | Airborne behaviour monitoring using Gaussian processes with map information | en_UK |
dc.type | Article | - |