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Document type:
Konferenzbeitrag 
Author(s):
Berk M., Kroll H.-M., Schubert O., Buschardt B., Straub D. 
Title:
Bayesian Test Design for Reliability Assessments of Safety-Relevant Environment Sensors Considering Dependent Failures 
Abstract:
Machine vision based on automotive environment sensors is the enabling technology for advanced driver assistance systems and automated driving. Due to its important role, the reliability of environment sensing is highly safety relevant and has thus to be assessed and demonstrated during the development of the system. The main challenges associated with this task are low target error rates and the stochastic influence of different uncertain environmental conditions on the sensor performance. As a...    »
 
Book / Congress title:
SAE Technical Paper 2017-01-0050 
Year:
2017 
Language:
de 
TUM Institution:
Engineering Risk Analysis Group