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Inferenz von Kreuzungsinformationen aus Flottendaten
Ruhhammer, Christian
2017
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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.
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Keywords
- Automated Map Creation
- Automatisierte Kartenerstellung
- Fleet Data
- Flottendaten
- Intersection Information
- Kreuzungsinformationen
- Lichtsignalanlage
- Machine learning
- Maschinelles Lernen
- Traffic Light
Links
DOI: 10.5445/KSP/1000073704Editions