Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Niklas Stannartz"'
Publikováno v:
IEEE Access, Vol 11, Pp 60005-60027 (2023)
There are significant advances in GNSS-free cross-modality self-localization of self-driving vehicles. Recent methods focus on learnable features for both cross-modal global localization via place recognition (PR) and local pose tracking, however the
Externí odkaz:
https://doaj.org/article/53190458b6584afd935cbfb08d67ae82
Publikováno v:
ITSC
Among many components in automated driving, localization is one fundamental task that provides the context for scene understanding and motion planning. This contribution focuses on localization in high-definition (HD) maps, which provide detailed inf
Publikováno v:
Forschung im Ingenieurwesen. 83:163-171
Menschliche Fahrfehler stellen die Hauptursache fur Unfalle im Strasenverkehr dar. Die automatische Verkehrsuberwachung bietet einen Beitrag, um die Vision des unfallfreien Strasenverkehrs zu erreichen. Eine solche Infrastruktur erhoht unmittelbar di
Publikováno v:
Proceedings ISBN: 9783658347536
Using external map information for automated driving is beneficial, as this follows an extension of the sensor range and global navigation to a priori specified goal. However, common systems use high definition maps, which are expensive to construct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3ac48ba8c4974af4be4bd64878b4634
https://doi.org/10.1007/978-3-658-34754-3_11
https://doi.org/10.1007/978-3-658-34754-3_11
Publikováno v:
Proceedings ISBN: 9783658347512
This paper evaluates different deep learning based depth estimation algorithms. We propose improvements for a state-of-the-art unguided depth completion method where the number of necessary parameters can be more than halved at unvarying accuracy. Ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4905bb17eafaacb231532c38ad606fa5
https://doi.org/10.1007/978-3-658-34752-9_17
https://doi.org/10.1007/978-3-658-34752-9_17
Autor:
Mario Theers, Marc Sons, Torsten Bertram, Niklas Stannartz, Adalberto Llarena, Oliver Maria Kind, Markus Kuhn
Publikováno v:
Proceedings ISBN: 9783658334659
Compared to standard navigation maps, HD maps contain precise additional information for automated vehicles. To exploit this information, a lane-level accurate localization estimate within the HD map needs to be available. Here, the computation and m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ad5c0509f6f295b5477b9f7a76737e2
https://doi.org/10.1007/978-3-658-33466-6_28
https://doi.org/10.1007/978-3-658-33466-6_28
Publikováno v:
ITSC
High-precision maps provide essential and detailed information for automated vehicles, especially about the individual lanes of a road. Here, the memory efficiency of curve representations is a critical aspect to limit the amount of data to store and