This repository is a paper digest of recent advances in occupancy perception.
本仓库由公众号【自动驾驶之心】 团队整理，欢迎关注，一览最前沿的技术分享！
InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy Prediction
[NeurIPS 2023] POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images
UniVision: A Unified Framework for Vision-Centric 3D Perception
Fully Sparse 3D Panoptic Occupancy Prediction
[AAAI 2024] RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation
[AAAI 2024] Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving
OccNeRF: Self-Supervised Multi-Camera Occupancy Prediction with Neural Radiance Fields
Camera-based 3D Semantic Scene Completion with Sparse Guidance Network
OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries
COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction
Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications
DepthSSC: Depth-Spatial Alignment and Dynamic Voxel Resolution for Monocular 3D Semantic Scene Completion
OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving
Technical Report for Argoverse Challenges on 4D Occupancy Forecasting
SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction
FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin
SOccDPT: Semi-Supervised 3D Semantic Occupancy from Dense Prediction Transformers trained under memory constraints
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection
LiDAR-based 4D Occupancy Completion and Forecasting
S4C: Self-Supervised Semantic Scene Completion with Neural Fields
Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving
Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments
[ICRA2024] PointSSC: A Cooperative Vehicle-Infrastructure Point Cloud Benchmark for Semantic Scene Completion
OCC-VO: Dense Mapping via 3D Occupancy-Based Visual Odometry for Autonomous Driving
SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving
RenderOcc: Vision-Centric 3D Occupancy Prediction with 2D Rendering Supervision
OccupancyDETR: Making Semantic Scene Completion as Straightforward as Object Detection
[ITSC 2023] Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure
PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction
[AAAI2024] SOGDet: Semantic-Occupancy Guided Multi-view 3D Object Detection
[ICCV 2023] MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection
UniWorld: Autonomous Driving Pre-training via World Models
[IROS 2023] Vehicle Motion Forecasting using Prior Information and Semantic-assisted Occupancy Grid Maps
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving
OCTraN: 3D Occupancy Convolutional Transformer Network in Unstructured Traffic Scenarios
CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's Eye View
[CVPR 2023 Challenge] FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation
[TIV] LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion
Symphonize 3D Semantic Scene Completion with Contextual Instance Queries
[CVPR 2023 Challenge] Multi-Scale Occ: 4th Place Solution for CVPR 2023 3D Occupancy Prediction Challenge
[CVPR 2023 Challenge] UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering
UniScene: Multi-Camera Unified Pre-training via 3D Scene Reconstruction
Learning Occupancy for Monocular 3D Object Detection
[CVPR 2023] GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training
[ITSC 2023] Occupancy Prediction-Guided Neural Planner for Autonomous Driving
A Simple Framework for 3D Occupancy Estimation in Autonomous Driving
[ICCV 2023] OccNet: Scene as Occupancy
[IROS 2023] SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion
SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving
OVO: Open-Vocabulary Occupancy
PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
BEVDet-Occ
Occ-BEV: Multi-Camera Unified Pre-training via 3D Scene Reconstruction
BEV-IO: Enhancing Bird's-Eye-View 3D Detection with Instance Occupancy
Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving
OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction
StereoScene: BEV-Assisted Stereo Matching Empowers 3D Semantic Scene Completion
SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving
OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
[CVPR 2023] Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction
[CVPR 2023] Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting
OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion
Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data
[ICRA 2023] StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks
[CVPR 2022] MonoScene: Monocular 3D Semantic Scene Completion
[ECCV 2022] Differentiable Raycasting for Self-supervised Occupancy Forecasting
LOPR: Latent Occupancy PRediction using Generative Models
[IROS 2022] Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments
STrajNet: Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving
HOPE: Hierarchical Spatial-temporal Network for Occupancy Flow Prediction
Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference
[IEEE Robotics and Automation Letters] Occupancy Flow Fields for Motion Forecasting in Autonomous Driving
[AAAI 2021] Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
[ CVPR 2020] 3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior
[CVPR 2020] Anisotropic Convolutional Networks for 3D Semantic Scene Completion
[3DV 2020] LMSCNet: Lightweight Multiscale 3D Semantic Completion
Semantic Scene Completion from a Single Depth Image
A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective
Vision-based 3D occupancy prediction in autonomous driving: a review and outlook
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review
TorchSSC
OpenOcc
The-Eyes-Have-It
Autonomous Challenge Driving Track 3 3D Occupancy Prediction
清华大学&英伟达最新｜Occ3D：通用全面的大规模3D Occupancy预测基准
Occupancy Network综述！Grid-Centric的感知方法（BEV/多任务/轨迹预测等）
This repository was mainly written by Rujia Wang.
If you have any questions about the paper list, please do not hesitate to email me or open an issue on GitHub.
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