AirSim360 & Omni360-X Datasets

AirSim360 is a high-fidelity simulation platform optimized for panoramic vision, closed-loop reconstruction, and autonomous system training. This repository hosts the AirSim360 software releases and the large-scale synthetic dataset Omni360-X.

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📂 Repository Structure

1. AirSim360 Simulation Software

• Air Version (Current): Designed for immediate use; a standalone software requiring zero configuration for seamless flight simulation and data collection.
• Pro Version (Upcoming): Built for researchers and developers; offers extensive customization via Python APIs to facilitate VLA, VLM, and complex closed-loop tasks.

2. Omni360-X Datasets

Standardized datasets generated via the AirSim360 platform:

• Omni360-Scene: Panoramic datasets across urban, industrial, and indoor environments.
• Omni360-WayPoint: Trajectories for UAV/Robot navigation.
• Omni360-Human: Dynamic human assets and interactions for pose estimation.

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🛠 Quick Start: Download Air Version

The following 5 core scenes are currently available. Download and extract the .zip files to initialize the simulation.

Scene Name	Filename	Size	Description
Atmospheric House	AtmosphericHouse.zip	2.36 GB	Indoor environment with optimized lighting.
City Downtown	CityDowntown.zip	1.39 GB	Complex urban streetscape.
Dekogon Gym	DekogonGym.zip	1.11 GB	Industrial gym interior.
Factory	Factory.zip	966 MB	Factory.
Spanish Courtyard	SpanishCourtyard.zip	917 MB	Detailed outdoor environment.

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🗓 Release Roadmap

• April 15, 2026: Commencement of the Monthly Map Release schedule.
• April 17 2026: AirSim360 Pro Preview release.
• April 17 2026: Full rollout of the Omni360-X Dataset series.

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⚖️ License & Terms of Use

This project (including software and datasets) is released under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.

• ✅ Academic Use: You are free to use, modify, and build upon this work for non-commercial research and educational purposes.
• ❌ Commercial Use: Any form of commercial exploitation, including but not limited to using the data to train commercial models or integrating the software into proprietary products, is strictly prohibited without prior written consent from Insta360-Research.

📜 Citation

If you utilize AirSim360 or Omni360-X in your research, please cite:

@misc{AirSim360_2026,
  author = {Zhang Yuhang, Insta360 Research},
  title = {AirSim360: A High-Fidelity Panoramic Simulation Platform},
  year = {2026},
  publisher = {Hugging Face},
  howpublished = {\url{[https://huggingface.co/datasets/Insta360-Research/AirSim360](https://huggingface.co/datasets/Insta360-Research/AirSim360)}}
}