SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion
Author:
Affiliation:
1. Institute of Cyber-Systems and Control, Zhejiang University,Hangzhou,China,310027
2. Shanghai Artificial Intelligence Laboratory,Shanghai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341742.pdf?arnumber=10341742
Reference41 articles.
1. Semantic Scene Completion from a Single Depth Image
2. Up-to-Down Network: Fusing Multi-Scale Context for 3D Semantic Scene Completion
3. LMSCNet: Lightweight Multiscale 3D Semantic Completion
4. Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
5. Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds
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1. RTONet: Real-Time Occupancy Network for Semantic Scene Completion;IEEE Robotics and Automation Letters;2024-10
2. Optimizing 3D Semantic Scene Completion on Embedded Systems;2024 International Seminar on Intelligent Technology and Its Applications (ISITIA);2024-07-10
3. Voxel- and Bird’s-Eye-View-Based Semantic Scene Completion for LiDAR Point Clouds;Remote Sensing;2024-06-21
4. Co-Occ: Coupling Explicit Feature Fusion With Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction;IEEE Robotics and Automation Letters;2024-06
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