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OmniVIL-Calib: Target-Free Joint Calibration for Omnidirectional Camera, IMU, and LiDAR

This is the official implementation of OmniVIL-Calib, a target-free, mapping-free framework for joint spatiotemporal calibration of an omnidirectional VIL system.

🚀 News

  • [2026-01] Our paper has been accepted by IEEE Robotics and Automation Letters (RA-L)!
  • [Ongoing] We are currently cleaning up the code and organizing the OmniVIL dataset. Stay tuned!

✨ Key Features

  • Target-free: Calibrate without checkerboards or specific targets.
  • Mapping-free: No prior 3D maps or SfM subgraphs required.
  • Continuous-time Optimization: Based on B-spline for asynchronous sensor fusion.
  • Omni-specific: Specialized motion-flow model for FOV > 180°.

📊 Visualizations

System Overview
(a) The proposed joint spatiotemporal calibration framework.

Hardware Platform
(b) The experimental hardware platform and OmniVIL dataset scenarios.

📂 OmniVIL Dataset

The self-collected dataset used in our paper will be released soon. It includes:

  • Synchronized raw data from an omnidirectional camera, IMU, and LiDAR.
  • Various indoor and outdoor complex scenarios.

📌 TODO

  • Full Dataset Release (ETA: 2026/04/15) Due to hardware limitations at the time of paper submission, hardware-level time synchronization for the camera was not available. We are currently recollecting data with new equipment that supports precise hardware synchronization.

  • Full Code Release (ETA: 2026/05/15) The codebase is relatively large. We plan to first release the dataset and then thoroughly test the code before making it publicly available.

📝 Citation

If you find this work useful, please cite:

@article{tu2026omnivil,
  title={OmniVIL-Calib: Target-Free Joint Calibration for Omnidirectional Camera, IMU, and LiDAR},
  author={Tu, YiHan and Mei, Ruidong and Cheng, Hui},
  journal={IEEE Robotics and Automation Letters},
  year={2026},
  publisher={IEEE}
}