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MultiCorrupt : A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection

; ; ;

In
2024 IEEE Intelligent Vehicles Symposium (IV) : June 2-5, 2024. Jeju Island, Korea / general chair: Seung-Hyun Kong (KAIST, Korea) ; organized by IEEE, IEEE Intelligent Transportation Systems Society (ITSS), Seiten/Artikel-Nr: 3255-3261

Konferenz/Event:2024 IEEE Intelligent Vehicles Symposium , Jeju Island , South Korea , IV , 2024-05-02 - 2024-05-05

ImpressumPiscataway, NJ : IEEE

Umfang3255-3261

ISBN979-8-3503-4881-1, 979-8-3503-4882-8, 9798350348811, 9798350348828

Online
DOI: 10.1109/IV55156.2024.10588664

URL: https://publications.rwth-aachen.de/record/1004766/files/1004766.pdf

Einrichtungen

  1. Lehrstuhl und Institut für Kraftfahrzeuge (ika) (414110)


Inhaltliche Beschreibung (Schlagwörter)
LiDAR (frei) ; Multi-modal 3D (frei) ; MultiCorrupt (frei) ; miscalibration (frei) ; object detection (frei) ; sensor misalignment (frei)

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Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online

Sprache
English

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85199806188
WOS Core Collection: WOS:001275100903067

Interne Identnummern
RWTH-2025-01612
Datensatz-ID: 1004766

Beteiligte Länder
Germany

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Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Poster  ;  ;  ;
MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection
2024 IEEE Intelligent Vehicles Symposium, IV, Jeju IslandJeju Island, South Korea, 2 May 2024 - 5 May 20242024-05-022024-05-05  GO  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

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Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Mechanical Engineering (Fac.4)
Public records
Publications database
414110
 Record created 2025-02-20, last modified 2025-09-30
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