Hugging Face's logo

Datasets:
mistletoe235
/
openflyscan

Modalities:
Text
Formats:
text
Languages:
English
Chinese
Size:
< 1K
ArXiv:
Tags:
robotics
gaussian-splatting
aerial-reconstruction
unreal-engine
hardware-in-the-loop
arxiv:2609.24253
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
 Community
1
openflyscan / README.md
mistletoe235's picture
mistletoe235
docs: point license link to public dataset
d77c9bc verified
preview code
|
Raw History Blame Contribute Delete
3.78 kB
metadata 
pretty_name: OpenFlyScan
license: other
license_name: openflyscan-component-licenses
license_link: >-
  https://huggingface.co/datasets/mistletoe235/openflyscan/blob/main/LICENSES/README.md
language:
  - en
  - zh
tags:
  - robotics
  - gaussian-splatting
  - aerial-reconstruction
  - unreal-engine
  - hardware-in-the-loop
  - arxiv:2609.24253

OpenFlyScan

Paper · Project page · Citation

Resources for aerial Gaussian-splat reconstruction and drone simulation. This dataset repository hosts downloadable runtime packages and their associated scene resources. Training/evaluation code and the trained Quality Predictor head are in the main GitHub repository.

Available now

Resource Contents Entry point
HIL-simulator v0.1.0 — Expo East Linux runtime, preconverted Expo East scene, English HIL monitor and PLY converter Download and run

The Expo East package opens directly with the HIL monitor visible. Without a connected phone, it remains in the waiting state; an optional software-only preview is also available. No UE editor or scene conversion is required to open the included scene.

Expo East HIL window

Repository layout 

HIL-simulator/
  README.md
  linux/v0.1.0/
    OpenFlyScan-HIL-ExpoEast-Linux-v0.1.0.tar.zst
    SHA256SUMS
    release_manifest.json
docs/
  simulator_quickstart.md
  hil_quickstart.md
  hil_quickstart_zh.md
manifests/
  scenes.json
previews/
  expo_east_start.png
  expo_east_hil_window.png
  expo_east_english_panels.png
LICENSES/
  README.md
  runtime/

This dataset currently contains the simulator package and converted Expo East scene resources. Standalone GS PLYs and training teacher/cache bundles are not yet available here. The trained head is already included in the main repository at weights/quality_predictor.pt, together with a small real-feature inference example; it is not a separate HF download.

Code and companion apps

  • OpenFlyScan: trained head, CPU example, training/evaluation and the mobile-facing workstation service.
  • OpenFlyScan-UE: UE source, scene conversion and HIL integration.
  • App downloads: signed Android V4/V5 APKs and iOS access information.
  • TestFlight requests: iOS invitations when an eligible external-testing build is available.

The source repositories and simulator downloads are publicly available.

Licensing

The Expo East scene resources use CC BY 4.0. Original project code uses Apache-2.0; NanoGaussianSplatting and other dependencies retain their own terms, and Unreal Engine remains under Epic's EULA. See license scope.

The existing v0.1.0 runtime archive and checksum are unchanged. Updated notices, the scene license and Eigen source are provided alongside it; no replacement runtime download is needed.

Citation

If you use OpenFlyScan or these resources in your research, please cite:

@misc{you2026openflyscanqualityguidedaerialreconstruction,
  title = {OpenFlyScan: A Quality-Guided Aerial Reconstruction System for Consumer Drones},
  author = {Zhongrui You and Zhen Li and Junli Liu and Zhigang Wang and Bin Zhao},
  year = {2026},
  eprint = {2609.24253},
  archivePrefix = {arXiv},
  primaryClass = {cs.RO},
  url = {https://arxiv.org/abs/2609.24253}
}