arXiv (All)
open access
SpaRV: Sparse Radiance Voxels for Scalable Geometrically Consistent LiDAR-Visual Mapping and Rendering
Robotic simulation, navigation, and inspection need photorealistic and geometrically accurate maps. Radiance fields achieve photorealism, but building them from robot data raises three challenges. A robot's trajectory serves its task, not reconstruction, so images from few viewpoints leave the geome
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
- Provisioning Robust and Efficient LiDAR Perception for Autonomous Driving#1403413
- GEM: Generating LiDAR World Model via Deformable Mamba#924080
- GEM: Generating LiDAR World Model via Deformable Mamba#919851
- GeoVerse: World-Consistent Novel View Synthesis in Geometric Latent Space#1131700
- SCOPE: Field-of-View-Aware Path Planning in Unknown Space via Safety-Volume Certification#793828
Record · ID 1400487
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