Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Mario Trapp"'
Autor:
Daniel Schneider, Mario Trapp
Publikováno v:
Journal of Internet Services and Applications, Vol 9, Iss 1, Pp 1-16 (2018)
Abstract Connected cars, freely configurable operating rooms, or autonomous harvesting fleets: dynamically emerging open systems of systems will shape a new generation of systems opening up a vast potential for new kinds of applications. In light of
Externí odkaz:
https://doaj.org/article/5ad86f499665441ab84a0cc385975b84
Autor:
Mario Trapp
Publikováno v:
Digitale Welt. 5:8-13
Techniken, die mit Kunstlicher Intelligenz (KI) ausgestattet sind, pragen unseren Alltag heute schon in vielen Anwendungsbereichen. Langst ist um KI ein Wettbewerb entstanden, der wirtschaftliche, industrielle, rechtliche und soziale Faktoren betriff
Publikováno v:
2022 IEEE Intelligent Vehicles Symposium (IV).
Autor:
Andrea Ceccarelli, Mario Trapp, Andrea Bondavalli, Erwin Schoitsch, Barbara Gallina, Friedemann Bitsch
This book constitutes the proceedings of the Workshops held in conjunction with the 43rd International Conference on Computer Safety, Reliability, and Security, SAFECOMP 2024, which took place in Florence, Italy, during September 2024. The 36 papers
This book constitutes the refereed proceedings of the 43rd International Conference on Computer Safety, Reliability and Security, SAFECOMP 2024, held in Florence, Italy, in September 2024. The 19 full papers included in this volume were carefully rev
Autor:
Tasuku Ishigooka, Dhavalkumar Shekhada, Mario Trapp, Christian Drabek, Satoshi Otsuka, Mariko Mizuochi, Gereon Weiss
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030714536
Future embedded systems and services will be seamlessly connected and will interact on all levels with the infrastructure and cloud. For safety-critical applications this means that it is not sufficient to ensure dependability in a single embedded sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::297c7c08204009c8da83b8dd31c83417
https://doi.org/10.1007/978-3-030-71454-3_6
https://doi.org/10.1007/978-3-030-71454-3_6
Publikováno v:
ISSRE Workshops
The increased demand of Deep Neural Networks (DNNs) in safety-critical systems, such as autonomous vehicles, leads to increasing importance of training data suitability. Firstly, we focus on how to extract the relevant data content for ensuring DNN r
Autor:
Jan Reich, Mario Trapp
Publikováno v:
EDCC
Assuring an adequate level of safety is the key challenge for the approval of autonomous vehicles (AV). The full performance potential of AV cannot be exploited at present because traditional assurance methods at design time are based on a risk asses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36da09a5f6895f509f2317c54eafb3f1
Publikováno v:
Springer Reference Technik ISBN: 9783662455371
Springer Reference Technik
Springer Reference Technik
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98e6d928bd239ba45fc0d1d6ba096285
https://doi.org/10.1007/978-3-662-45537-1_34-2
https://doi.org/10.1007/978-3-662-45537-1_34-2