/satellite-pose-estimation

Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement

Primary LanguageC++MIT LicenseMIT

Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement (ICCVW 2019)

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}
}