Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jan-Hendrik Pauls"'
Autor:
Miguel Angel Munoz-Banon, Jan-Hendrik Pauls, Haohao Hu, Christoph Stiller, Francisco A. Candelas, Fernando Torres
Publikováno v:
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Universidad de Alicante (UA)
Localization in aerial imagery-based maps offers many advantages, such as global consistency, geo-referenced maps, and the availability of publicly accessible data. However, the landmarks that can be observed from both aerial imagery and on-board sen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::141468d12b157dc3f550d87903a9bc36
http://arxiv.org/abs/2207.14042
http://arxiv.org/abs/2207.14042
Publikováno v:
2022 IEEE Intelligent Vehicles Symposium (IV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbc93248d975403a495d47977522be04
https://doi.org/10.1109/iv51971.2022.9827425
https://doi.org/10.1109/iv51971.2022.9827425
Publikováno v:
2022 IEEE Intelligent Vehicles Symposium (IV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1875c5bef48ab63eac93c1d87f21dbac
https://doi.org/10.1109/iv51971.2022.9827063
https://doi.org/10.1109/iv51971.2022.9827063
Publikováno v:
IV
High definition (HD) maps can fail by becoming outdated. To still use them safely for automated driving, they need to be verified or updated, both requiring methods for change detection. We propose two significant improvements for HD map change detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7596e3a1100e3c314ee93a7aae1445f
https://doi.org/10.1109/iv48863.2021.9575778
https://doi.org/10.1109/iv48863.2021.9575778
Publikováno v:
IFAC-PapersOnLine. 52:87-92
Estimating motion and shape of surrounding objects reliably and accurately is a fundamental challenge in the study of interactions between cooperative traffic participants. This paper proposes a new approach that utilizes free space information obtai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e6ede9eafe825b3aca3e39f6d6ff9a0
https://doi.org/10.1016/j.ifacol.2019.08.053
https://doi.org/10.1016/j.ifacol.2019.08.053
Publikováno v:
ICRA
While the automatic creation of maps for localization is a widely tackled problem, the automatic inference of higher layers of HD maps is not. Additionally, approaches that learn from maps require richer and more precise landmarks than currently avai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d4865a4f87feb049d45da7465017e5e
https://doi.org/10.1109/icra48506.2021.9561432
https://doi.org/10.1109/icra48506.2021.9561432
The detection of polylines is usually either bound to branchless polylines or formulated in a recurrent way, prohibiting their use in real-time systems. We propose an approach that builds upon the idea of single shot object detection. Reformulating t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2ed1fc7d57f0b46a389c2643aa3640d
Publikováno v:
IV
High definition (HD) maps have proven to be a necessary component for safe and comfortable automated driving (AD) [1]. Naively verifying HD maps requires an accurate localization prior in order to correctly associate measurements with map data. In pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6625ae552ce6d960e9838c75d1bf1d9c
https://doi.org/10.1109/iv47402.2020.9304716
https://doi.org/10.1109/iv47402.2020.9304716
Autor:
Johannes Janosovits, Fabian Poggenhans, Jan-Hendrik Pauls, Stefan Orf, Matthias Mayr, Florian Kuhnt, Maximilian Naumann
Publikováno v:
ITSC
Although accurate and comprehensive maps are indispensable for highly automated driving, especially in complex urban scenarios, there are hardly any publications in which requirements for these maps are discussed. In our opinion, such maps must meet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bd236967a7d43671e5cadb767f10fa3
https://doi.org/10.1109/itsc.2018.8569929
https://doi.org/10.1109/itsc.2018.8569929
Publikováno v:
ITSC
Detailed high-precision maps have proven to be essential for highly automated driving (HAD). Nevertheless, the issue of validation of such a detailed map has hardly been covered yet. To be a reliable complement for noisy sensors and probabilistic alg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eba65c37484712a7153435439800e528
https://doi.org/10.1109/itsc.2018.8569249
https://doi.org/10.1109/itsc.2018.8569249