Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jens Doll"'
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:
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
Autor:
Andre Bauer, Florian Kuhnt, Michael Weber, Sebastian Klemm, Christian Hubschneider, J. Marius Zollner, Jens Doll
Publikováno v:
ITSC
We propose an integrated approach of combining end-to-end learned trajectory proposals with a probabilistic sampling based planning algorithm for autonomous driving. A convolutional neural network is trained based on monocular image data to predict p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f738fecb28e92f52f9f36c3c81e34d3
https://doi.org/10.1109/itsc.2017.8317873
https://doi.org/10.1109/itsc.2017.8317873
Publikováno v:
European Clinical Respiratory Journal, Vol 5, Iss 1 (2018)
Background: Although chronic obstructive pulmonary disease (COPD) is one of the leading causes of morbidity and mortality globally, several studies have shown little awareness of COPD in the general population. The awareness of COPD in the Scandinavi
Externí odkaz:
https://doaj.org/article/1efb55fa13dd419db428b0aff10117a0
Publikováno v:
Pulmonary Medicine, Vol 2017 (2017)
Background. Early detection of chronic obstructive pulmonary disease (COPD) and prevention of disease progression are important. Only 40% of COPD cases are diagnosed in Denmark. Recommendations for early case finding have been established. This study
Externí odkaz:
https://doaj.org/article/dbee940eb326482bb26aff11c95ac167