BoChenYS / satellite-pose-estimation

Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement

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We propose the following pipeline for satellite pose estimation.

Our approach won the 1st place in the Kelvin's Pose Estimation Challenge.

Tha relevant dataset can be downloaded from https://kelvins.esa.int/satellite-pose-estimation-challenge/data/.

Cite this work:

@InProceedings{chen2019satellite,
  title={Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement},
  author={Chen, Bo and Cao, Jiewei and Parra, Alvaro and Chin, Tat-Jun},
  booktitle={ICCVW},
  year={2019}
}

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Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement

License:MIT License


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Language:C++ 62.8%Language:Python 25.3%Language:Cuda 10.8%Language:CMake 0.7%Language:MATLAB 0.5%Language:Shell 0.0%Language:Makefile 0.0%