Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Philip Schorner"'
Publikováno v:
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45a160785e9bfc77ed022ca7912dcaef
https://doi.org/10.1109/iceccme55909.2022.9988483
https://doi.org/10.1109/iceccme55909.2022.9988483
Autor:
Tobias Fleck, Lennart Jauernig, Rupert Polley, Philip Schorner, Marc Rene Zofka, 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_________::70fbb67d02effa825a2dce9b5de0c5ad
https://doi.org/10.1109/itsc55140.2022.9922328
https://doi.org/10.1109/itsc55140.2022.9922328
Publikováno v:
ITSC
In this work, we present the concept of an automated valet parking system that considers vehicles of different levels of automation by incorporating a parking management system. We discuss different types of distributions of the necessary functions f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b899e6d1b4b79702b9e47065e1c3dca4
https://doi.org/10.1109/itsc48978.2021.9565095
https://doi.org/10.1109/itsc48978.2021.9565095
Autor:
Karl Kutzer, Karam Daaboul, Philip Schorner, Hauke Thomsen, J. Marius Zollner, Alexander Albers
Publikováno v:
IV
Data driven approaches for decision making applied to automated driving require appropriate generalization strategies, to ensure applicability to the world's variability. Current approaches either do not generalize well beyond the training data or ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4acb8e6c4fdd85fcf2c017dba9c85f6a
http://arxiv.org/abs/2102.06765
http://arxiv.org/abs/2102.06765
Publikováno v:
ITSC
We propose an online motion planning approach for a pseudo omnidirectional vehicle based on particle swarm optimization. Therefore, we first describe the principles behind the optimization process. Afterwards we derive representations for the vehicle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b9c57c10d8460d9eafb3c9965e0e4ef
https://doi.org/10.1109/itsc.2019.8917200
https://doi.org/10.1109/itsc.2019.8917200
Publikováno v:
ITSC
We propose an approach for the model-free prediction of multi-lane traffic scenes using Fully Convolutional Networks (FCN). In order to generalize the applicability of the approach, we use a grid-based, sensor-agnostic input representation. Positioni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea97a1e3136ab77f5643ef98e47e8bb1
https://doi.org/10.1109/itsc.2019.8917263
https://doi.org/10.1109/itsc.2019.8917263
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
State of the art emergency brake assistant systems solely based on sensor measurements reduced the number of traffic accidents and casualties drastically in recent years. In order to be able to react on road users who elude a vehicle's field of view
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9569f1f4a52e810cfbb866972fca7a8d
https://doi.org/10.1109/ivs.2019.8814022
https://doi.org/10.1109/ivs.2019.8814022
Autor:
Ingmar Baumgart, Nico Susmann, Jens Doll, Marc Rene Zofka, Ralf Kohlhaas, Michael Weber, Philip Schorner, Florian Kuhnt, J. Marius Zollner, Marek Wehmer, Raoul Zollner, Christian Hubschneider, Tobias Fleck, Karam Daaboul, Stefan Orf
Publikováno v:
Intelligent Autonomous Systems 15 ISBN: 9783030013691
IAS
IAS
This paper presents the concept, realization and evaluation of a flexible and scalable setup for smart infrastructure at the example of the Test Area Autonomous Driving Baden-Wurttemberg.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17e3acaa1d2095ee46afdc3ebd639db5
https://doi.org/10.1007/978-3-030-01370-7_75
https://doi.org/10.1007/978-3-030-01370-7_75