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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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Creative Commons Attribution CC BY 4.0 ; OpenAccess
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Faculty of Mathematics, Computer Science and Natural Sciences (Fac.1) > Department of Computer Science
Faculty of Mechanical Engineering (Fac.4)
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123710
414110
 Record created 2025-06-13, last modified 2025-07-03
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