Risk Assessment for Integral Safety in Automated Driving
作者： Clemens Markus Hruschka , Daniel Topfer , Sebastian Zug
DOI: 10.1109/ICOIAS.2019.00025
关键词:
摘要: This paper presents a novel risk assessment approach that allows to control the behaviour of self driving cars. continuous real-time considers uncertainties as well accident severity predictions intervene integrally. Thus it not only predictive traffic interaction and collision avoidance, but also an intelligent crash interaction. These decisions are made on incomplete data, due imperfect environment perception data road users' unknown intentions. Advanced, situational numerical dependencies regarded. Furthermore, benefit multiple approximating estimations discussed.
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