State, shape, and parameter estimation of space objects from range images

@article{Lichter2004StateSA,
  title={State, shape, and parameter estimation of space objects from range images},
  author={Matthew D. Lichter and Steven Dubowsky},
  journal={IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004},
  year={2004},
  volume={3},
  pages={2974-2979 Vol.3}
}
An architecture for the estimation of dynamic state, geometric shape, and model parameters of objects in orbit using on-orbit cooperative 3-D vision sensors is presented. This has application in many current and projected space missions, such as automated satellite capture and servicing, debris capture and mitigation, and large space structure assembly and maintenance. The method presented here consists of three parts: (1) kinematic data fusion, which condenses sensory data into coarse… CONTINUE READING

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