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1
LiDAR Snowfall Simulation for Robust 3D Object Detection:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Hahner, Martin
;
Sakaridis, Christos
;
Bijelic, Mario
... - p. 16343-16353 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.01588
RT T1 <cTitle>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>LiDAR Snowfall Simulation for Robust 3D Object Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9879145&Exemplar=1&LAN=DE A1 Hahner, Martin A1 Sakaridis, Christos A1 Bijelic, Mario A1 Heide, Felix A1 Yu, Fisher A1 Dai, Dengxin A1 Van Gool, Luc YR 2022 SN 2575-7075 K1 Point cloud compression K1 Training K1 Solid modeling K1 Three-dimensional displays K1 Laser radar K1 Training data K1 Object detection K1 retrieval; Robot vision; Scene analysis and understanding K1 categorization K1 Image and video synthesis and generation; Computational photography; Datasets and evaluation; Navigation and autonomous driving; Physics-based vision and shape-from-X; Recognition: detection SP 16343 OP 16353 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.01588 DO https://doi.org/10.1109/CVPR52688.2022.01588 SF ELIB - SuUB Bremen
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