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3D Semantic Occupancy Prediction

Uses sparse LiDAR semantic labels for training and testing

Papers

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Showing 31–40 of 47 papers

TitleStatusHype
VPOcc: Exploiting Vanishing Point for Monocular 3D Semantic Occupancy Prediction—0
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features—0
α-OCC: Uncertainty-Aware Camera-based 3D Semantic Occupancy Prediction—0
GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy PredictionCode4
OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving—0
Co-Occ: Coupling Explicit Feature Fusion with Volume Rendering Regularization for Multi-Modal 3D Semantic Occupancy Prediction—0
Real-time 3D semantic occupancy prediction for autonomous vehicles using memory-efficient sparse convolution—0
Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D PerceptionCode1
OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy PredictionCode2
Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles—0
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