arXiv (All)
open access
UFMF: Radar-Guided Kinematic Priors for Real-Time 4D Occupancy Forecasting
Real-time 4D occupancy forecasting requires reliably extrapolating both ego motion and surrounding actor motion under strict latency budgets. Recent occupancy world models improve long-horizon fidelity through generative decoders and 3D volumetric modeling, yet their computational cost makes real-ti
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- LighTROcc: Lightweight 4D Occupancy Forecasting via Instance-Centric 3D Gaussians#1233483
- ProMo3D: Probing Motion Cues in Frozen 3D Foundation Models#1456625
- FM-Occ: Feature-Diverse Upsampling and Memory-Aware Decoding for 3D Occupancy Prediction#1413993
- OccWAM: Occupancy World-Action Models with Joint Scene-to-Ego Flow Matching#1342898
- ARROW: Arbitrary Reconstruction and Tracking of 4D Observations in the Wild#1156586
Record · ID 1533794
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive