Ruhhammer, Christian <br/><br/>
Inferenz von Kreuzungsinformationen aus Flottendaten 

 -  KIT Scientific Publishing  2017 
 - 1 electronic resource (XIX, 171 p. p.) 
<br/><br/> Open Access 
<br/><br/> 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. 
<br/><br/><br/>Creative Commons 
<br/><br/><br/>German 
<br/><br/><label>ISBN: </label>KSP/1000073704 9783731507215 
<br/><br/><label>Standard No.: </label>10.5445/KSP/1000073704  doi 
<br/><br/><label>Subjects--Index Terms: </label>Maschinelles Lernen Flottendaten Intersection Information Lichtsignalanlage Automated Map Creation Fleet Data Traffic Light Automatisierte Kartenerstellung Kreuzungsinformationen Machine Learning