Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Clemens Linnhoff"'
Publikováno v:
Sensors, Vol 22, Iss 14, p 5266 (2022)
Safety validation of automated driving functions is a major challenge that is partly tackled by means of simulation-based testing. The virtual validation approach always entails the modeling of automotive perception sensors and their environment. In
Externí odkaz:
https://doaj.org/article/ca7da51bc0304900a3789bdad6657e3f
Publikováno v:
IEEE Sensors Journal. 21:24238-24245
Sensor and perception simulation is key for simulation based testing of automated driving functions. Depending on the testing use-case, different cause-effect chains for the specific sensor technology become relevant and the demanded computation time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f048a0a0cd8026dd91c96786ba220df6
https://doi.org/10.1109/jsen.2021.3115589
https://doi.org/10.1109/jsen.2021.3115589
Publikováno v:
Sensors; Volume 22; Issue 14; Pages: 5266
Safety validation of automated driving functions is a major challenge that is partly tackled by means of simulation-based testing. The virtual validation approach always entails the modeling of automotive perception sensors and their environment. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::cc2858380db79c1ec87344ec5471bbca
Autor:
Nicodemo Cianciaruso, Jonas Franz Tamm-Morschel, Philip Aust, Martin Holder, Clemens Linnhoff, Hermann Winner, Philipp Rosenberger
Publikováno v:
Automotive and Engine Technology. 5:187-197
Validating safety is an unsolved challenge before autonomous driving on public roads is possible. Since only the use of simulation-based test procedures can lead to an economically viable solution for safety validation, computationally efficient simu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5eff6c550e9e6d5092985b0524a9360d
https://doi.org/10.1007/s41104-020-00066-x
https://doi.org/10.1007/s41104-020-00066-x
Autor:
Hermann Winner, Lukas Elster, Philipp Rosenberger, Clemens Linnhoff, Simon Schmidt, Rainer Stark
Publikováno v:
ITSC
Perception sensor modeling is essential for the safety validation of automated driving systems in virtual environments. Nevertheless, the community lacks a methodical approach to derive requirements for such sensor models that enables a serious appli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94136bb3624c26d9e843b7230378d2f9
Autor:
Clemens Linnhoff, Philipp Rosenberger, Martin Friedrich Holder, Nicodemo Cianciaruso, Hermann Winner
Publikováno v:
Proceedings ISBN: 9783658347512
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be47440bf84fd9fb88e6aa84f3b8ac8b
https://doi.org/10.1007/978-3-658-34752-9_16
https://doi.org/10.1007/978-3-658-34752-9_16
Publikováno v:
EasyChair Preprints.
The certification of autonomous driving by means of virtual testing methods is limited by the accuracy of simulated perception sensors, especially radar.This work presents a proof-of-concept implementation of Fourier tracing, a novel approach for syn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc89af3e92f196ea3b309677a7abd014
https://doi.org/10.29007/qm6j
https://doi.org/10.29007/qm6j
Autor:
Martin F. Holder, Clemens Linnhoff, Philipp Rosenberger, Christoph Popp, Prof. Dr. Hermann Winner
Automotive radar measurements are prone to noisy sensor readings due to artifacts, such as false detections, clutter, and aliasing. Simulation models of sensors that are deployed in virtual testing pipelines must demonstrate a high degree of fidelit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::4e4a7a739a7e20550056b6b9edcdec1d
https://mediatum.ub.tum.de/1535151
https://mediatum.ub.tum.de/1535151
Publikováno v:
ITSC
This paper proposes an algorithm for camera based roadway mapping in urban areas. With a convolutional neural network the roadway is detected in images taken by a camera mounted in the vehicle. The detected roadway masks from all images of one drivin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::303359cb4f1db5cfddf82cca4e513d9a
http://tuprints.ulb.tu-darmstadt.de/8356/
http://tuprints.ulb.tu-darmstadt.de/8356/