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...

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Bibliographic Details
Main Author: Ruhhammer, Christian (auth)
Format: Electronic Book Chapter
Published: KIT Scientific Publishing 2017
Series:Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Inferenz von Kreuzungsinformationen aus Flottendaten 
260 |b KIT Scientific Publishing  |c 2017 
300 |a 1 electronic 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  |4 https://creativecommons.org/licenses/by-sa/4.0/ 
546 |a German 
650 7 |a Technology: general issues  |2 bicssc 
653 |a Maschinelles Lernen 
653 |a Flottendaten 
653 |a Intersection Information 
653 |a Lichtsignalanlage 
653 |a Automated Map Creation 
653 |a Fleet Data 
653 |a Traffic Light 
653 |a Automatisierte Kartenerstellung 
653 |a Kreuzungsinformationen 
653 |a Machine Learning 
856 4 0 |a www.oapen.org  |u https://www.ksp.kit.edu/9783731507215  |7 0  |z DOAB: download the publication 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/50183  |7 0  |z DOAB: description of the publication