arXiv (All)
open access
RadGeoLoc: Radar Geolocalization via Particle Filtering
In real-time autonomous field applications, GNSS is often unreliable and inaccurate. A possible solution is localizing against a prebuilt map like a satellite image, as it is georeferenced and already surveyed. In this work, we localize a spinning radar measurement against overhead RGB imagery with
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
- FROG: Efficient Range-Filtering Approximate Nearest Neighbor Search on GPUs#625078
- FROG: Efficient Range-Filtering Approximate Nearest Neighbor Search on GPUs#622805
- FROG: Efficient Range-Filtering Approximate Nearest Neighbor Search on GPUs#459754
- Geometry Regularization for Vanilla NeRF via Self-Supervised Cross-Ray Consistency#1403571
- Massively Parallel Kalman Filtering: Scaling State Estimation via CUDA Kernels#329666
Record · ID 1402698
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