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 |
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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 |
| Summary: | 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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| Physical Description: | 1 online resource (XIX, 171 p. p.) |
| ISBN: | 9783731507215 KSP/1000073704 |
| Access: | Open Access |