Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Lennart Ries"'
Autor:
Patrick Petersen, Hanno Stage, Jacob Langner, Lennart Ries, Philipp Rigoll, Carl Philipp Hohl, Eric Sax
Publikováno v:
2022 IEEE International Symposium on Systems Engineering (ISSE).
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Publikováno v:
Proceedings of the 11th International Conference on Data Science, Technology and Applications.
Publikováno v:
Deep Neural Networks and Data for Automated Driving ISBN: 9783031012327
Automated driving is widely seen as one of the areas, where key innovations are driven by the application of deep learning. The development of safe and robust deep neural network (DNN) functions requires new validation methods. A core insufficiency o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4797d13740d11d2dcaa7844c9ae3166d
https://doi.org/10.1007/978-3-031-01233-4_3
https://doi.org/10.1007/978-3-031-01233-4_3
Publikováno v:
ITSC
The validation of Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS) is a major challenge for the automotive industry. Scenario based testing is a promising validation approach, but relies on a scenario database with a high
Publikováno v:
VEHITS
Publikováno v:
ISSE
The absence of the human fallback level in Automated Driving Systems (ADS) results in a tremendous increase in system complexity and required reliability. Due to the number of possible parameter variations in a driving situation, the framing of all i
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
As development of Automated Driving Systems (ADS) advances, new methods for validation and verification (V&V) are needed. A promising approach for V&V is scenario-based testing. Recorded real-world-driving-data constitutes a useful source for the ext
Publikováno v:
ICST
In recent years, numerous innovations in the automotive industry have addressed the field of driver assistance systems and automated driving. Therefore additional required sensors, as well as the need for digital maps and online services, lead to an
Publikováno v:
Intelligent Vehicles Symposium
Advanced Driver Assistant Systems (ADAS) use a multitude of input signals for tasks like trajectory planning and control of vehicle dynamics provided by a large variety of information sources such as sensors and digital maps. To assure the feature’