Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Nico M. Schmidt"'
Autor:
Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termohlen, Jorg P. Schafer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt
Publikováno v:
IEEE Access, Vol 11, Pp 54296-54336 (2023)
Deep neural networks (DNNs) have proven their capabilities in the past years and play a significant role in environment perception for the challenging application of automated driving. They are employed for tasks such as detection, semantic segmentat
Externí odkaz:
https://doaj.org/article/eff12d6af3374522b5feff09b79894c1
Publikováno v:
ITSC
When deep neural networks are deployed in a highly automated vehicle for environment perception tasks in an unseen (target) domain that differs from the training (source) domain, the mismatch will result in decreased performance. Domain adaptation me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c8329266b29c14804d0595bd4806018
https://doi.org/10.1109/itsc48978.2021.9564566
https://doi.org/10.1109/itsc48978.2021.9564566
Autor:
Serin Varghese, Jonas Löhdefink, Nikhil Kapoor, Nico M. Schmidt, Chun Yuan, Tim Fingscheidt, Roland Zimmerman, Peter Schlicht, Fabian Hüger
Publikováno v:
CSCS
Deep neural networks are often not robust to semantically-irrelevant changes in the input. In this work we address the issue of robustness of state-of-the-art deep convolutional neural networks (CNNs) against commonly occurring distortions in the inp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5af9a622335a631fea0a61670758a14c
http://arxiv.org/abs/2012.01386
http://arxiv.org/abs/2012.01386
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV).
Cooperative perception with many sensors involved greatly improves the performance of perceptual systems in autonomous vehicles. However, the increasing amount of sensor data leads to a bottleneck due to limited capacity of vehicle-to-X (V2X) communi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::125063eba17d232cb68cc6821472544d
https://doi.org/10.1109/iv47402.2020.9304779
https://doi.org/10.1109/iv47402.2020.9304779
Autor:
Jan David Schneider, Fabian Hüger, Andreas Bär, Nico M. Schmidt, Tim Fingscheidt, Yasin Bayzidi, Serin Varghese, Sounak Lahiri, Peter Schlicht, Nikhil Kapoor
Publikováno v:
CVPR Workshops
Commonly used metrics to evaluate semantic segmentation such as mean intersection over union (mIoU) do not incorporate temporal consistency. A straightforward extension of existing metrics towards evaluating the consistency of segmentation of video s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cd2009cfd12aa41efcb835a77134dbf
https://doi.org/10.1109/cvprw50498.2020.00176
https://doi.org/10.1109/cvprw50498.2020.00176
Autor:
Fabian Hüger, Jonas Löhdefink, Nico M. Schmidt, Peter Schlicht, Tim Fingscheidt, Justin Fehrling, Marvin Klingner
Publikováno v:
CVPR Workshops
Autonomous driving requires self awareness of its perception functions. Technically spoken, this can be realized by observers, which monitor the performance indicators of various perception modules. In this work we choose, exemplarily, a semantic seg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e69553347aaadd4e598e0504bd5830e
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
The high amount of sensors required for autonomous driving poses enormous challenges on the capacity of automotive bus systems. There is a need to understand tradeoffs between bitrate and perception performance. In this paper, we compare the image co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74ebd69b9d27ca1bbf5aa827794e2992
https://doi.org/10.1109/ivs.2019.8813813
https://doi.org/10.1109/ivs.2019.8813813
Publikováno v:
IROS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0298a7f9092e2cbbc7faf816463dd81
https://doi.org/10.1109/iros.2014.6942862
https://doi.org/10.1109/iros.2014.6942862
Animals and humans engage in an enormous variety of behaviors which are orchestrated through a complex interaction of physical and informational processes: The physical interaction of the bodies with the environment is intimately coupled with informa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5353320e6a309c721a99b93bb6017f22
https://doi.org/10.5167/uzh-69834
https://doi.org/10.5167/uzh-69834
Publikováno v:
PLoS Computational Biology, Vol 9, Iss 1, p e1002871 (2013)
PLoS Computational Biology
PLoS Computational Biology
The interest in saccadic IOR is funneled by the hypothesis that it serves a clear functional purpose in the selection of fixation points: the facilitation of foraging. In this study, we arrive at a different interpretation of saccadic IOR. First, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3d1c43f9f0db5eb23c091f680338dec
http://europepmc.org/articles/PMC3547797?pdf=render
http://europepmc.org/articles/PMC3547797?pdf=render