Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Maximilian Zipfl"'
Autor:
Maximilian Zipfl, J. Marius Zollner
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c319a5fdbd9aa9083e6754e82ce1a68c
https://doi.org/10.1109/itsc55140.2022.9922469
https://doi.org/10.1109/itsc55140.2022.9922469
Examining graphs for similarity is a well-known challenge, but one that is mandatory for grouping graphs together. We present a data-driven method to cluster traffic scenes that is self-supervised, i.e. without manual labelling. We leverage the seman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2448dc02964ee83676d4f3dec210e844
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811922589
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72671a4695215a07e506647e1e151b46
https://doi.org/10.1007/978-981-19-2259-6_39
https://doi.org/10.1007/978-981-19-2259-6_39
A major challenge in the safety assessment of automated vehicles is to ensure that risk for all traffic participants is as low as possible. A concept that is becoming increasingly popular for testing in automated driving is scenario-based testing. It
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56eda1170d4f37119a2f9d39583458d2
Autor:
Maximilian Zipfl, Felix Hertlein, Achim Rettinger, Steffen Thoma, Lavdim Halilaj, Juergen Luettin, Stefan Schmid, Cory Henson
Representing relevant information of a traffic scene and understanding its environment is crucial for the success of autonomous driving. Modeling the surrounding of an autonomous car using semantic relations, i.e., how different traffic participants
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84214e9b103a87c725daf381b53100c9
Publikováno v:
ITSC
The validation and verification (V&V) of highly automated driving depends on reference data in the different steps of the development process. While there exist a variety of datasets to optimize and benchmark perception algorithms, large trajectory d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a472816d9171cd77616b1bcfb869dca1
https://doi.org/10.1109/itsc45102.2020.9294539
https://doi.org/10.1109/itsc45102.2020.9294539
Autor:
Patrick Schulz, J. Marius Zollner, Maximilian Zipfl, Marc Rene Zofka, Lars Töttel, Tobias Fleck, Marc Heinrich
Publikováno v:
MFI
Validation and verification of autonomous vehicles is still an unsolved problem. Although virtual approaches promise a cost efficient and reproducible solution, a most comprehensive and realistic representation of the real world traffic domain is req
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58fa43fe08ad9bbe84906486e289f906
https://doi.org/10.1109/mfi49285.2020.9235238
https://doi.org/10.1109/mfi49285.2020.9235238