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Titel:

Framework for generation of synthetic ground truth data for driver assistance applications

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Haltakov, V.; Unger, C.; Ilic, S.
Abstract:
High precision ground truth data is a very important factor for the development and evaluation of computer vision algorithms and especially for advanced driver assistance systems. Unfortunately, some types of data, like accurate optical flow and depth as well as pixel-wise semantic annotations are very difficult to obtain. In order to address this problem, in this paper we present a new framework for the generation of high quality synthetic camera images, depth and optical flow maps and pixel...     »
Stichworte:
CAMPComputerVision,CAMP,2013,DAGM,ConferencePaperR,haltakov2013gcpr
Kongress- / Buchtitel:
Gcpr
Jahr:
2013
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