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
Inferenz von Kreuzungsinformationen aus Flottendaten
2017
1 Online-Ressource (XIX, 171 p.)
Book
Electronic Resource
German
Inferenz von Kreuzungsinformationen aus Flottendaten
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