ShelfOcc: Native 3D Supervision beyond LiDAR for Vision-Based Occupancy Estimation
Boeder S; Gigengack F; Roesler S; Caesar H; Risse B
Research article in edited proceedings (conference) | Peer reviewedDetails about the publication
Editors: Kanade, T.; Ullman, Shimon; Kambhamettu, Chandra; Metaxas, Dimitris N.
Book title: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Page range: 1-8
Publisher: Wiley-IEEE Computer Society Press
Published by: IEEE/CVF
Place of publication: Denver, USA
Status: accepted / in press (not yet published)
Release year: 2026
Language in which the publication is written: English
Conference: Conference on Computer Vision and Pattern Recognition (CVPR), Denver, United States
Keywords: foundation models; occupancy prediction; deep learning; AI
Authors from the University of Münster
| Risse, Benjamin | Professorship of Geoinformatics for Sustainable Development (Prof. Risse) |