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OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction

; ; ; ;

Konferenz/Event:IEEE International Conference on Robotics & Automation , Atlanta , USA , ICRA , 2025-05-19 - 2025-05-23

Umfang9 Seiten

Online
DOI: 10.48550/arXiv.2503.10605

URL: https://publications.rwth-aachen.de/record/1013094/files/1013094.pdf

Einrichtungen

  1. Lehrstuhl und Institut für Kraftfahrzeuge (ika) (414110)
  2. Lehrstuhl für Computer Vision (Informatik 13) (123710)
  3. Fachgruppe Informatik (120000)


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Dokumenttyp
Preprint

Format
online

Sprache
English

Externe Identnummern
arXiv: arXiv:2503.10605

Interne Identnummern
RWTH-2025-05337
Datensatz-ID: 1013094

Beteiligte Länder
Germany

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Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Conference Presentation  ;  ;  ;  ;
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction
IEEE International Conference on Robotics & Automation, ICRA, AtlantaAtlanta, USA,  GO   Download fulltextFulltext BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a book/Contribution to a conference proceedings  ;  ;  ;  ;
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction
2025 IEEE International Conference on Robotics and Automation : May 19-23, 2025, Atlanta, GA, USA / IEEE Robotics & Automation Society, IEEE ; ICRA - IEEE International Conference on Robotics and Automation ; general chairs: Seth Hutchinson (Northeastern University), Nancy Amato (University of Illinois at Urbana-Champaign) ; publications committee - chair: Todd Murphey (Northwestern University)/co-chairs: Zhidong Wang (Chiba Institute of Technology)
IEEE International Conference on Robotics & Automation, ICRA 2025, Atlanta, GAAtlanta, GA, USA, 19 May 2025 - 23 May 20252025-05-192025-05-23
[Piscataway, NJ] : IEEE 4884-4891 () [10.1109/ICRA55743.2025.11128049]  GO  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Poster  ;  ;  ;  ;
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction
IEEE International Conference on Robotics & Automation, AtlantaAtlanta, USA,  GO  Download fulltext Files BibTeX | EndNote: XML, Text | RIS


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120000
123710
414110

 Record created 2025-06-13, last modified 2026-02-20


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