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Inferenz von Kreuzungsinformationen aus Flottendaten
Ruhhammer, Christian
出版KIT Scientific Publishing, 2017-11-09
ISBN37315072189783731507215
URLhttp://books.google.com.hk/books?id=xURBDwAAQBAJ&hl=&source=gbs_api
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註釋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.