Sensor-based learning algorithms pave the way towards autonomous driving
Sensor-based learning algorithms pave the way towards autonomous driving
- New search for: Beringer, Nicole
- New search for: Beringer, Nicole
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.
Document information
Sensor-based learning algorithms pave the way towards autonomous driving
AmE 2017 – Automotive meets Electronics - 8. GMM-Fachtagung ; 2017 ; Dortmund, Deutschland
2017-01-01
6 pages
Conference paper
Electronic Resource
English
Similar titles
Towards Fully Autonomous Driving: Systems and Algorithms
| British Library Conference Proceedings | 2011
Towards fully autonomous driving: Systems and algorithms
| IEEE | 2011
Hypersonic vehicles Missile projects pave the way towards aerospaceplanes
| Online Contents | 2000
Fiber Pave, Polypropylene Fiber
| NTIS | 1992