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020 _a9783658363369
024 7 _a10.1007/978-3-658-36336-9
_2doi
040 _aTR-AnTOB
_beng
_cTR-AnTOB
_erda
041 _aeng
050 4 _aTL152.5
072 7 _aTRC
_2bicssc
072 7 _aTEC009090
_2bisacsh
072 7 _aTRC
_2thema
090 _aTL152.5EBK
100 1 _aNoering, Fabian Kai Dietrich.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aUnsupervised Pattern Discovery in Automotive Time Series
_h[electronic resource] :
_bPattern-based Construction of Representative Driving Cycles /
_cby Fabian Kai Dietrich Noering.
250 _a1st ed. 2022.
264 1 _aWiesbaden :
_bSpringer Fachmedien Wiesbaden :
_bImprint: Springer Vieweg,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAutoUni – Schriftenreihe,
_x2512-1154 ;
_v159
505 0 _aIntroduction -- RelatedWork -- Development of Pattern Discovery Algorithms for Automotive Time Series -- Pattern-based Representative Cycles -- Evaluation -- Conclusion.
520 _aIn the last decade unsupervised pattern discovery in time series, i.e. the problem of finding recurrent similar subsequences in long multivariate time series without the need of querying subsequences, has earned more and more attention in research and industry. Pattern discovery was already successfully applied to various areas like seismology, medicine, robotics or music. Until now an application to automotive time series has not been investigated. This dissertation fills this desideratum by studying the special characteristics of vehicle sensor logs and proposing an appropriate approach for pattern discovery. To prove the benefit of pattern discovery methods in automotive applications, the algorithm is applied to construct representative driving cycles. About the author Fabian Kai Dietrich Noering is currently working in the technical development of Volkswagen AG as data scientist with a special interest in the analysis of time series regarding e.g. product optimization.
650 0 _aAutomotive engineering.
650 0 _aImage processing—Digital techniques.
650 0 _aComputer vision.
650 0 _aPattern recognition systems.
650 0 _aComputer science.
650 1 4 _aAutomotive Engineering.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 2 4 _aAutomated Pattern Recognition.
650 2 4 _aTheory and Algorithms for Application Domains.
653 0 _aMotor vehicle driving -- Mathematical models
653 0 _aTime-series analysis
710 2 _aSpringerLink (Online service)
830 0 _aAutoUni – Schriftenreihe,
_x2512-1154 ;
_v159
856 4 0 _uhttps://doi.org/10.1007/978-3-658-36336-9
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK