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pro vyhledávání: '"WINNER, HERMANN"'
Autor:
Linnhoff, Clemens, Scheuble, Dominik, Bijelic, Mario, Elster, Lukas, Rosenberger, Philipp, Ritter, Werner, Dai, Dengxin, Winner, Hermann
Modeling perception sensors is key for simulation based testing of automated driving functions. Beyond weather conditions themselves, sensors are also subjected to object dependent environmental influences like tire spray caused by vehicles moving on
Externí odkaz:
http://arxiv.org/abs/2212.08558
The safety approval of Highly Automated Vehicles (HAV) is economically infeasible with current approaches. For verification and validation, it is essential to describe the intended behavior of an HAV in the development process in order to prove safet
Externí odkaz:
http://arxiv.org/abs/2202.05211
Autor:
Stolte, Torben, Ackermann, Stefan, Graubohm, Robert, Jatzkowski, Inga, Klamann, Björn, Winner, Hermann, Maurer, Markus
This paper presents a taxonomy that allows defining the fault tolerance regimes fail-operational, fail-degraded, and fail-safe in the context of automotive systems. Fault tolerance regimes such as these are widely used in recent publications related
Externí odkaz:
http://arxiv.org/abs/2106.11042
Publikováno v:
In Accident Analysis and Prevention February 2024 195
In recent years, Bayes filter methods in the labeled random finite set formulation have become increasingly powerful in the multi-target tracking domain. One of the latest outcomes is the Generalized Labeled Multi-Bernoulli (GLMB) filter which allows
Externí odkaz:
http://arxiv.org/abs/2006.02755
Accurate simulation and validation of advanced driver assistance systems requires accurate sensor models. Modeling automotive radar is complicated by effects such as multipath reflections, interference, reflective surfaces, discrete cells, and attenu
Externí odkaz:
http://arxiv.org/abs/1701.09180
Akademický článek
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Akademický článek
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Publikováno v:
In Transportation Research Part F: Psychology and Behaviour February 2019 61:69-83
Autor:
Amersbach, Christian, Winner, Hermann
Objective: Particular testing by functional decomposition of the automated driving function can potentially contribute to reducing the effort of validating highly automated driving functions. In this study, the required size of test suites for scenar
Externí odkaz:
https://publish.fid-move.qucosa.de/id/qucosa%3A72240
https://publish.fid-move.qucosa.de/api/qucosa%3A72240/attachment/ATT-0/
https://publish.fid-move.qucosa.de/api/qucosa%3A72240/attachment/ATT-0/