Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Stefan Kugele"'
Publikováno v:
2023 IEEE 20th International Conference on Software Architecture Companion (ICSA-C).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00b2e717cdef5077b411d83dbc33837c
https://doi.org/10.1109/icsa-c57050.2023.00059
https://doi.org/10.1109/icsa-c57050.2023.00059
Autor:
Stefan Kugele, Manfred Broy
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da6f4b1d7c629e6a9c93dfa072c7b85e
https://doi.org/10.1109/itsc55140.2022.9922097
https://doi.org/10.1109/itsc55140.2022.9922097
Autor:
Ana Petrovska, Stefan Kugele, Thomas Hutzelmann, Theo Beffart, Sebastian Bergemann, Alexander Pretschner
Publikováno v:
Information and Software Technology. 147:106866
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4abeb7321dccc87bc4b46fd6a85c920c
https://doi.org/10.1016/j.infsof.2022.106866
https://doi.org/10.1016/j.infsof.2022.106866
Publikováno v:
ICSA Companion
This volume contains the papers presented at the 7th International Workshop on Automotive System/Software Architecture (WASA 2021) held on March 22, 2021, in Stuttgart, Germany. WASA was organized as part of the 18th IEEE International Conference on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aab880693067347cdd1748ae3cc6deb4
https://doi.org/10.1109/icsa-c52384.2021.00035
https://doi.org/10.1109/icsa-c52384.2021.00035
Autor:
Vadim Cebotari, Stefan Kugele
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV).
Context: We consider the structure of service-oriented architectures in vehicular software. Aim: We aim at evaluating the structure and grouping of service architectures. Method: We propose and discuss architectural metrics tailored towards automotiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d6f4ba3a139ab06609cde845cb872fe
https://doi.org/10.1109/iv47402.2020.9304633
https://doi.org/10.1109/iv47402.2020.9304633
Publikováno v:
ICSA
Context: Future automotive customer functions will be highly personalisable and adapt their settings proactively in an intelligent way. Aim: We aim at designing generic architectural patterns for functional architectures containing machine learning c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7408278c6c6ee95afceb9ca2000b727b
https://doi.org/10.1109/icsa47634.2020.00026
https://doi.org/10.1109/icsa47634.2020.00026
Publikováno v:
APSEC
Intelligent systems based on artificial intelligence techniques are increasing and are recently being accepted in the automotive domain. In the competition of automobile makers to provide fully automated vehicles, it is perceived that artificial inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7556cfb6aa3ffff1e88b13a8825a452b
https://doi.org/10.1109/apsec48747.2019.00066
https://doi.org/10.1109/apsec48747.2019.00066
Publikováno v:
ITSC
Context: With the growing prevalence of machine learning applications within the automotive domain, we observe an increase of built-in sensors and generated data. This data includes complex data such as point clouds for the environmental model but al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea7bd86b5facfef1fcf9461ed56592e6
https://doi.org/10.1109/itsc.2019.8917161
https://doi.org/10.1109/itsc.2019.8917161
Autor:
Vadim Cebotari, Stefan Kugele
Publikováno v:
ICSA Companion
Context: Current trends in the automotive industry like automated driving, machine intelligence, and digitisation introduce more and more complex functions and their interplay in in-vehicle architectures. To cope with this complexity, car makers are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26cbd60adf6548ad80f5831fc641b210
https://doi.org/10.1109/icsa-c.2019.00017
https://doi.org/10.1109/icsa-c.2019.00017