5 papers
Towards 3D Object-Centric Feature Learning for Semantic Scene Completion
Weihua Wang, Yubo Cui, Xiangru Lin +2
Vision-based 3D Semantic Scene Completion (SSC) has received growing attention due to its potential in autonomous driving. While most existing approaches follow an ego-centric para…
CAO-RONet: A Robust 4D Radar Odometry with Exploring More Information from Low-Quality Points
Zhiheng Li, Yubo Cui, Ningyuan Huang +2
Recently, 4D millimetre-wave radar exhibits more stable perception ability than LiDAR and camera under adverse conditions (e.g. rain and fog). However, low-quality radar points hin…
4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation
Jiexi Zhong, Zhiheng Li, Yubo Cui +1
Semantic segmentation of LiDAR points has significant value for autonomous driving and mobile robot systems. Most approaches explore spatio-temporal information of multi-scan to id…
LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba
Yubo Cui, Zhiheng Li, Jiaqiang Wang +1
Vision-based 3D occupancy prediction has become a popular research task due to its versatility and affordability. Nowadays, conventional methods usually project the image-based vis…
StreamMOS: Streaming Moving Object Segmentation with Multi-View Perception and Dual-Span Memory
Zhiheng Li, Yubo Cui, Jiexi Zhong +1
Moving object segmentation based on LiDAR is a crucial and challenging task for autonomous driving and mobile robotics. Most approaches explore spatio-temporal information from LiD…