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Titel:

RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Luo, Yuan; Hoffmann, Rudolf; Xia, Yan; Wysocki, Olaf; Schwab, Benedikt; Kolbe, Thomas H.; Cremers, Daniel
Stichworte:
GISTop_CitySystemModeling; GISTop_CityModeling; GISTop_SpatialModelingAndAlgorithms; LOCTop_Data_generation_and_object_reconstruction; LOCTop_Spatial_modeling_and_algorithms; LOCTop_Urban_Information_Modeling_Virtual_3D_City_Model
Kongress- / Buchtitel:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
Jahr:
2025
Quartal:
2. Quartal
Jahr / Monat:
2025-06
Sprache:
en
Hinweise:
Paper accepted for publication
 BibTeX