arXiv (All)
open access
Human-in-the-Loop Geospatial Annotation for Rapid Dataset Construction in Field-Deployed UAV Systems
Real-world perception systems must adapt to changing environments, but manual image annotation cannot scale to field data volumes. We present BirdsEye, which shifts expert annotation from images to the field: an operator records target locations in world coordinates using RTK positioning and calibra
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
- Post Fusion Bird's Eye View Feature Stabilization for Robust Multimodal 3D Detection#927248
- OneCanvas: 3D Scene Understanding via Panoramic Reprojection#287124
- VTOS: Learning to Orchestrate Vision Tools by Co-Searching Solutions and Observers#821924
- ChatBEV: Empowering Traffic Scene Understanding and Simulation via Vision-Language Model#972906
- EAGOR: Embodied Reasoning in Omni-direction#1105103
Record · ID 1076423
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