arXiv (All)
open access
PanoAir: A Panoramic Visual-Inertial SLAM with Cross-Time Real-World UAV Dataset
Accurate pose estimation is fundamental for unmanned aerial vehicle (UAV) applications, where Visual-Inertial SLAM (VI-SLAM) provides a cost-effective solution for localization and mapping. However, existing VI-SLAM methods mainly rely on sensors with limited fields of view (FoV), which can lead to
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
- Camera Movement Estimation and Path Correction using the Combination of Modified A-SIFT and Stereo System for 3D Modelling#1386897
- Validity of the Kinect™ Sensor for Measuring Range of Motion in Patients Post-stroke and Healthy Test Subject#1093194
- Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods#927212
- The Geometric Observability Index: Influence, Fisher Information, and Weak Observability in SE(3) Pose Estimation#670482
- The Geometric Observability Index: Influence, Fisher Information, and Weak Observability in SE(3) Pose Estimation#668417
Record · ID 1386257
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