European Projects, ECSEL
Date: 01/06/2015 - 01/06/2018
15 partners from 4 nations
10,74 Mio. €
Today’s driver assistance systems offer comfort and safety in sound environmental conditions. However, in harsh environment conditions – when needed the most – systems stop working due to reduced sensor information quality. Targeting the area of highly automated driving the improvement of perception, decision and planning under adverse conditions is one of the main challenges to be addressed.The goal of RobustSENSE is to develop metrics to measures sensor system reliability on every level of assistance and automation systems, to investigate approaches to improve system performance throughout a robust vehicle architecture and to enable systems to cope with varying levels of uncertainty. RobustSENSE objectives therefore are to
The holistic approach of RobustSENSE enables an assistance system to cope with uncertainty. Continuous inference of probabilistic states on different layers supports auto-supervision of the perception and reasoning. By modeling the system and environment in a unified probabilistic manner RobustSENSE allows conclusions about conflicts and specific degradation of component performance. In consequence, RobustSENSE will define, develop and evaluate reliability measures for the next generation of automated driving.
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