Peter Neigel

"Multi-Camera Based Recognition of Outdoor Environments with Learning Based Approaches"

The understanding of the environment is a key factor for all advanced driver assistance systems (ADAS) and a large part of the advances in many computer vision tasks come from the use of deep learning techniques. From the beginning of this recent trend, research has focused heavily on urban areas with the intention of use in private passanger cars or cargo trucks. A large percentage of all vehicles worldwide however are industrial vehicles and mobile working machines like tractors, excavators or harvesters used in dozens of industries, from coarse earthwork operations and mining to agriculture. In this walk we want to have a look how computer vision tasks like person detection or semantic segmentation can be transferred from urban domains to outdoor environments in which these industrial vehicles might operate.

Termin als Datei downloaden und in den Kalender importieren.