• Corpus ID: 90258633

Optimal Fusion of Elliptic Extended Target Estimates based on the Wasserstein Distance

@article{Thormann2019OptimalFO,
  title={Optimal Fusion of Elliptic Extended Target Estimates based on the Wasserstein Distance},
  author={Kolja Thormann and Marcus Baum},
  journal={2019 22th International Conference on Information Fusion (FUSION)},
  year={2019},
  pages={1-6}
}
  • Kolja Thormann, M. Baum
  • Published 1 April 2019
  • Computer Science
  • 2019 22th International Conference on Information Fusion (FUSION)
This paper considers the fusion of multiple estimates of a spatially extended object, where the object extent is modeled as an ellipse parameterized by the orientation and semi-axes lengths. For this purpose, we propose a novel systematic approach that employs a distance measure for ellipses, i.e., the Gaussian Wasserstein distance, as a cost function. We derive an explicit approximate expression for the Minimum Mean Gaussian Wasserstein distance (MMGW) estimate. Based on the concept of a MMGW… 

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