Overview

The field predicts which parts of 3D space are occupied, what they contain, and sometimes how they will move, supporting navigation and autonomous driving. Common approaches lift camera features into voxel or bird’s-eye-view grids, fuse LiDAR or radar, or use sparse and continuous representations such as 3D Gaussians; training can rely on dense labels, depth cues, or pseudo-labels from pretrained models. Current work extends single-frame semantic prediction toward temporal forecasting, panoptic tracking, open-vocabulary understanding, and online maps for robots in indoor, outdoor, and specialized settings. A central tension is balancing dense, accurate geometry with efficient inference and reliable generalization, while ensuring that better occupancy scores translate into safer downstream planning.

Latest papers

CardsList

113 papers21 papers in the last four weeks, up 24% on the four weeks before. 0.1% of all new papers.

  1. LegoOcc++: Towards Consistent Open-Vocabulary 3D Occupancy Prediction

    Oct 25, 2026Changqing Zhou, Yueru Luo, Han Zhang +23D Occupancy Prediction3D Gaussian Splatting

  2. CoGaussian: Open-Vocabulary Gaussian-based Collaborative 3D Scene Understanding

    Oct 20, 2026Om Shivam Verma, Shaya Farahmand, Lingjun Zhao +13D Scene Understanding3D Occupancy Prediction

  3. VEOcc++: Learning Persistent Voxel Feature Maps for Embodied Online Semantic Occupancy Mapping and Offline Refinement

    Oct 20, 2026Ruoyu Wang, Jiahan Li, Yong Liu +1Semantic Occupancy Mapping3D Mapping

  4. Where Do the Gaussians Go? Foreground Attraction for Camera-Based Weakly Supervised 3D Occupancy

    Oct 19, 2026Jeagon Song, Jhonghyun An3D Occupancy Prediction3D Scene Understanding

  5. FALCON: FPGA-Accelerated Latency-Certifiable Occupancy Networks for Camera-Based Autonomous Driving

    Oct 15, 2026Haohua Que, Mingkai Liu, Handong YaoAutonomous Driving PerceptionFPGA-Based Neural Network Acceleration

  6. RadarGSOcc: Doppler-Aware 3D Semantic Occupancy Prediction Using 4D Radar Tensor with Geometric-Semantic Feature Extraction

    Oct 13, 2026Christofel Rio Goenawan, Dong-Hee Paek, Seung-Hyun Kong3D Occupancy PredictionAutonomous Driving Perception

  7. OccWAM: Occupancy World-Action Models with Joint Scene-to-Ego Flow Matching

    Oct 13, 2026Qihang Huang, Wenhui Huang, Collister Chua +6World Action ModelsWorld Models for Autonomous Driving

  8. ReForesight: Occlusion-Robust Re-Identification and Future Occupancy Forecasting for Dynamic Semantic Mapping

    Oct 12, 2026Didar Seyidov, Faith Ogunwoye, Hajira Amjad +3Query Re-IdentificationTrajectory Prediction

  9. SpikeOcc: Towards Resilient Multimodal 3D Occupancy Perception via Spiking Experts

    Oct 11, 2026Yiding Sun, Zijie Xu, Hongqiang Lin +73D Occupancy PredictionMultimodal Robustness

  10. GNFormer: Gaussian Neural Field Transformer for Efficient Camera-based Occupancy Prediction

    Oct 11, 2026Guangcheng Chen, Li He, Hong Zhang3D Occupancy Prediction3D ViTs

  11. InfraWorld: Motion-Aware World Modeling for Roadside 4D Occupancy Forecasting

    Oct 10, 2026Songkai Wang, Xiaokai Bai, Lei Yang +1Spatiotemporal Forecasting3D Occupancy Prediction

  12. LighTROcc: Lightweight 4D Occupancy Forecasting via Instance-Centric 3D Gaussians

    Oct 7, 2026Hwanhee Jung, SeungHyeon Kim, Inkyu Koo +33D Occupancy Prediction4D Scene Understanding

  13. SelectOccFlow: Selective Spatiotemporal Aggregation for 3D Occupancy and Scene Flow Prediction

    Oct 3, 2026Yuhang Wang, Kai Luo, Yuanfan Zheng +1Scene Flow Estimation3D Occupancy Prediction

  14. CrowdOcc: Monocular Semantic Scene Completion for Quadruped Robots in Crowded Indoor Environments

    Oct 2, 2026Feiyang Chen, Jincheng Hu, Yiduo Chen +53D Occupancy Prediction3D Scene Completion

  15. AdaOcc: Adaptive 3D Occupancy Prediction for Embodied Tasks

    Sep 30, 2026Jinglong Wang, Yunjie Wang, Zhiyang Zhang +43D Occupancy PredictionAdaptive Computation

  16. Planning Oriented 3D Scene Completion via Coupled TUDF Occupancy Representation Learning from Partial Observations

    Sep 29, 2026Tianyou Yu, Pengfei Zhao, Chao Xu3D Occupancy Prediction3D Representation Learning

  17. AquaBEV-Nav: Learned BEV Occupancy for Underwater Navigation and Exploration

    Sep 26, 2026Trung Tien Dong, Zhenqi Wu, Sahasra Kondapalli +3Autonomous Underwater NavigationUnderwater Robotics

  18. TriO: Tri-Modal Unsupervised Occupancy World Model for Anything Perception

    Sep 25, 2026Quinlan Sykora, Sourav Biswas, Christopher Diehl +3Unsupervised LearningAutonomous Driving Perception

  19. SplatLabel: Pseudo-Labelling through 4D Gaussian Splatting

    Sep 24, 2026Nitya Nanvani, Andras Palffy, Holger Caesar3D Gaussian Splatting3D Semantic Segmentation

  20. RoadOcc Learns When to Persist, Transport, or Refresh Memory for Roadside Occupancy Prediction

    Sep 23, 2026Xiaokai Bai, Lei Yang, Songkai Wang +3Autonomous Driving Perception3D Occupancy Prediction

  21. Predict Before You Step: Auditable Occupancy Forecasting for Dynamic Obstacle Avoidance under Sparse Guidance

    Sep 22, 2026Yuhui Mao, Fen Liu, Shenghai Yuan +3Robot Navigation3D Occupancy Prediction

  22. Driving on Registers, Reasoning on Risk: Risk-Aware Occupancy for Register-Based End-to-End Autonomous Driving

    Sep 18, 2026Jiaxing Chen, Hengduo Zou, YuKai Qin +3End-to-End Autonomous DrivingAutonomous Driving Planning

  23. Risk-Aware Occupancy for Safety-Oriented End-to-End Autonomous Driving

    Sep 18, 2026Jiaxing Chen, Hengduo Zou, Yiren Zhao +1End-to-End Autonomous Driving3D Occupancy Prediction