Collaborative multiagent Gaussian inference in a dynamic environment using belief propagation

  • Authors:
  • Stefano Ermon;Carla Gomes;Bart Selman

  • Affiliations:
  • Cornell University, Ithaca, New York;Cornell University, Ithaca, New York;Cornell University, Ithaca, New York

  • Venue:
  • Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
  • Year:
  • 2010

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Abstract

The problem of multiagent Gaussian inference in a dynamic environment, also known as distributed Kalman filtering, is formulated into the framework of message passing algorithms. Upon generalizing the derivation of the standard Kalman filter to the distributed case, we propose novel solutions that outperform current state of the art techniques.