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cs.CV2025
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving
Shumin Wang, Zhuoran Yang, Lidian Wang +7
The significant achievements of pre-trained models leveraging large volumes of data in the field of NLP and 2D vision inspire us to explore the potential of extensive data pre-trai…
cs.CV2025
OG-Gaussian: Occupancy Based Street Gaussians for Autonomous Driving
Yedong Shen, Xinran Zhang, Yifan Duan +5
Accurate and realistic 3D scene reconstruction enables the lifelike creation of autonomous driving simulation environments. With advancements in 3D Gaussian Splatting (3DGS), previ…
cs.CV2024
OccMamba: Semantic Occupancy Prediction with State Space Models
Heng Li, Yuenan Hou, Xiaohan Xing +3
Training deep learning models for semantic occupancy prediction is challenging due to factors such as a large number of occupancy cells, severe occlusion, limited visual cues, comp…