Inferenz von Kreuzungsinformationen aus Flottendaten

Von:

Ruhhammer, Christian [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Deutsch Reihen: Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für TechnologieVerlag: [Erscheinungsort nicht ermittelbar] : KIT Scientific Publishing, 2017Beschreibung: 1 Online-Ressource (XIX, 171 p.)ISBN:

9783731507215

Online-Ressourcen:

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Zusammenfassung: The next generation of driver assistance systems and highly automated driving functions are based on digital maps. In order to meet the high requirements on the correctness and up-to-dateness of this information, this work presents new automated methods to extract up-to-date map information from fleet data. The focus is on the inference of static intersection information from fleet data through machine learning and statistical methodsPPN: PPN: 1778568548Package identifier: Produktsigel: ZDB-94-OAB

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Creative Commons https://creativecommons.org/licenses/by-sa/4.0 cc

German