Latest revision as of 17:24, 28 January 2021

Abstract

Proceedings of: 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE 2010) Córdoba-Spain, June 04-06, 2010 This paper presents a new approach for trajectory segmentation in the area of Air Traffic Control, as a basic tool for offline validation with recorded opportunity traffic data. Our approach uses local information to classify each measurement individually, constructing the final segments over these classified samples as the final solution of the process. This local classification is based on a domain transformation using motion models to identify the deviations at a local scale, as an alternative to other global approaches based on combinatorial analysis over the trajectory segmentation domain. This work was supported in part by Projects CICYT TIN2008-06742-C02-02/TSI, CICYT TEC2008-06732-C02-02/TEC, CAM CONTEXTS (S2009/TIC-1485) and DPS2008-07029-C02-02. Publicado

Original document

The different versions of the original document can be found in:

• http://hdl.handle.net/10016/18335

• https://e-archivo.uc3m.es/bitstream/10016/18335/1/air_IEA_LNCS_2010_ps.pdf

• http://link.springer.com/content/pdf/10.1007/978-3-642-13033-5_51.pdf,

http://dx.doi.org/10.1007/978-3-642-13033-5_51

• https://link.springer.com/chapter/10.1007%2F978-3-642-13033-5_51,

https://core.ac.uk/display/29405212,

https://www.scipedia.com/public/Guerrero_Madrid_et_al_2010a,

https://dl.acm.org/citation.cfm?id=1946014,

https://dblp.uni-trier.de/db/conf/ieaaie/ieaaie2010-3.html#GuerreroGM10,

https://rd.springer.com/chapter/10.1007/978-3-642-13033-5_51,

https://academic.microsoft.com/#/detail/1587945553