CrowdOcc: Monocular Semantic Scene Completion for Quadruped Robots in Crowded Indoor Environments
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Abstract (arXiv)
Monocular semantic scene completion (SSC) for quadruped robots remains underexplored in real crowded indoor environments, where human-scene occlusion disrupts static geometry and human occupancy predictions are often incomplete or spatially misplaced. We present CrowdOcc, an RGB-D dataset and monocular SSC framework for this setting. CrowdOcc contains 25.1K frames from 11 indoor scenes, with semantic occupancy annotations constructed through static dynamic decoupling. Our framework combines: (i) Normal Guided Scene Geometry Fusion (NGSGF) to complement depth-aware lifting with surface-normal cues for occlusion robust geometry; and (ii) Human-Centric Sparse Interaction (HCSI) to selectively model human-human and local human scene relations in 3D. Our method achieves state-of-the-art SSC performance on CrowdOcc's scene-disjoint test set, reaching 15.80 IoU, 11.40 mIoU, and 46.23 Human IoU, demonstrating generalization to unseen indoor scenes.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 41 of its 46 references that are in the map. First posted on arXiv 2 Oct 2026.
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References · 41
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- 2023Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Drivingcited by 332
- 2023SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Drivingcited by 316
- 2023VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completioncited by 313
29 more
- 2023OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Predictioncited by 293
- 2025MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Detailscited by 261
- 2023OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perceptioncited by 221
- 2024GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Predictioncited by 157
- 2020Anisotropic Convolutional Networks for 3D Semantic Scene Completioncited by 127
- 20203D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Priorcited by 126
- 2024SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Predictioncited by 96
- 2023Symphonize 3D Semantic Scene Completion with Contextual Instance Queriescited by 90
- 2023NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Spacecited by 90
- 2024GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Predictioncited by 86
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- 2023Fully Sparse 3D Occupancy Predictioncited by 64
- 2019RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completioncited by 55
- 2021Semantic Scene Completion via Integrating Instances and Scene in-the-Loopcited by 55
- 2023Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applicationscited by 52
- 2024EmbodiedOcc: Embodied 3D Occupancy Prediction for Vision-based Online Scene Understandingcited by 45
- 2020Depth Based Semantic Scene Completion with Position Importance Aware Losscited by 37
- 2019ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Imagecited by 32
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- 2024Monocular Occupancy Prediction for Scalable Indoor Scenescited by 31
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- 2023Revisit Human-Scene Interaction via Space Occupancycited by 25
- 2023PointSSC: A Cooperative Vehicle-Infrastructure Point Cloud Benchmark for Semantic Scene Completioncited by 14
- 2025Feed-Forward SceneDINO for Unsupervised Semantic Scene Completioncited by 13
- 2026Generalizing Visual Geometry Priors to Sparse Gaussian Occupancy Predictioncited by 11
- 2024WildOcc: A Benchmark for Off-Road 3D Semantic Occupancy Predictioncited by 10
- 2025SplatSSC: Decoupled Depth-Guided Gaussian Splatting for Semantic Scene Completioncited by 9
- 2025OneOcc: Semantic Occupancy Prediction for Legged Robots with a Single Panoramic Cameracited by 8
- 2025Disentangling Instance and Scene Contexts for 3D Semantic Scene Completioncited by 7
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