Inferenz von Kreuzungsinformationen aus Flottendaten
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 fle...
Format: | eBook |
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Language: | German |
Published: |
KIT Scientific Publishing
2017
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Series: | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
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Subjects: | |
Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
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720 | 1 | |a Ruhhammer, Christian |4 aut | |
245 | 0 | 0 | |a Inferenz von Kreuzungsinformationen aus Flottendaten |
260 | |b KIT Scientific Publishing |c 2017 | ||
300 | |a 1 online resource (XIX, 171 p. p.) | ||
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520 | |a 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 methods. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |u https://creativecommons.org/licenses/by-sa/4.0/ | ||
546 | |a German | ||
650 | 7 | |a Technology: general issues |2 bicssc | |
653 | |a Automated Map Creation | ||
653 | |a Automatisierte Kartenerstellung | ||
653 | |a Fleet Data | ||
653 | |a Flottendaten | ||
653 | |a Intersection Information | ||
653 | |a Kreuzungsinformationen | ||
653 | |a Lichtsignalanlage | ||
653 | |a Machine Learning | ||
653 | |a Maschinelles Lernen | ||
653 | |a Traffic Light | ||
793 | 0 | |a DOAB Library. | |
856 | 4 | 0 | |u https://directory.doabooks.org/handle/20.500.12854/50183 |7 0 |z Open Access: DOAB: description of the publication |
856 | 4 | 0 | |u https://www.ksp.kit.edu/9783731507215 |7 0 |z Open Access: DOAB, download the publication |