Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hendrik Konigshof"'
Publikováno v:
2022 IEEE Intelligent Vehicles Symposium (IV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6d323b89f6f03ca26f4896e726a2c31
https://doi.org/10.1109/iv51971.2022.9827086
https://doi.org/10.1109/iv51971.2022.9827086
Publikováno v:
tm - Technisches Messen. 86:102-106
A detailed reconstruction of the environment is a crucial component of mobile robotic systems and enables higher level scene understanding. To achieve information redundancy heterogenous sensors need to be used with each sensor having specific streng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0da27b09118218240e5dec1fac44d23f
https://doi.org/10.1515/teme-2019-0052
https://doi.org/10.1515/teme-2019-0052
Autor:
Hendrik Konigshof, Christoph Stiller
Publikováno v:
ITSC
3D object detection serves as a crucial basis of visual perception, motion prediction, and planning for automated driving. To apply an algorithm for this purpose, the detection of all types of road users in real-time is an essential condition. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b39043cbe0e22400e985171ab3572ea
https://doi.org/10.1109/itsc45102.2020.9294743
https://doi.org/10.1109/itsc45102.2020.9294743
Publikováno v:
FUSION
Image-based 3D object detection is an inevitable part of autonomous driving because cheap onboard cameras are already available in most modern cars. Because of the accurate depth information, currently most state-of-the-art 3D object detectors heavil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6089d95e263a7f6b279651ddd646bf3
https://doi.org/10.23919/fusion45008.2020.9190325
https://doi.org/10.23919/fusion45008.2020.9190325
Publikováno v:
ITSC
We propose a 3D object detection and pose estimation method for automated driving using stereo images. In contrast to existing stereo-based approaches, we focus not only on cars, but on all types of road users and can ensure real-time capability thro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6d4ca2a15262b7901c03d0d3b0aae35
https://doi.org/10.1109/itsc.2019.8917330
https://doi.org/10.1109/itsc.2019.8917330
Publikováno v:
ITSC
While lane change behavior of human drivers has already been widely investigated, concepts and algorithms to plan lane changes for automated vehicles become necessary through the progress of automated driving. In this paper, we present an approach fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3278cddd7b1f42de9f91bf32a3d2baa3
https://doi.org/10.1109/itsc.2019.8917461
https://doi.org/10.1109/itsc.2019.8917461
Publikováno v:
IV
For a successful introduction of fully automated vehicles, they must behave both provably safe but also convenient, i.e. comfortable and not overcautious. Given the limited sensing capabilities, especially in urban scenarios where buildings and parki
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5af3a90470d44e3bf985e7c74a0326ec
https://doi.org/10.1109/ivs.2019.8814251
https://doi.org/10.1109/ivs.2019.8814251
Publikováno v:
Intelligent Vehicles Symposium
Accurate localization is a key task in map based autonomous driving. While in many cases high precision differential GPS is used, more and more vision based methods gain popularity to improve positioning in GNSS denied environments and to avoid high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::611b8bd0f3906ea6e7bf1b8ba5d83c9c
https://doi.org/10.1109/ivs.2016.7535488
https://doi.org/10.1109/ivs.2016.7535488