Sensor-based learning algorithms pave the way towards autonomous driving
Conference: AmE 2017 – Automotive meets Electronics - 8. GMM-Fachtagung
03/07/2017 - 03/08/2017 at Dortmund, Deutschland
Proceedings: GMM-Fb. 87: AmE 2017
Pages: 6Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
Beringer, Nicole (Elektrobit Automotive GmbH, Am Wolfsmantel 46, 91058 Erlangen, Germany)
The automotive world is striving to reduce traffic fatalities to a minimum. As human errors are the main cause of accidents, the industry is pushing advanced driver assistance features. On the route towards autonomous driving, boring routine tasks for the driver will gradually become obsolete. As driver assistance features and navigation systems rely on maps, autonomous driving will need the most recent, most up-to-date maps possible. This becomes clear when investigating the limitations of the range of ego sensors or recognition algorithms as well as information, e.g. legal traffic regulations per country, which cannot be derived from sensor observations.