Dynamical Situation and Trajectory Discrimination by Means of Clustering and Accumulation of Raw Range Measurements

@inproceedings{Barakova1999DynamicalSA,
  title={Dynamical Situation and Trajectory Discrimination by Means of Clustering and Accumulation of Raw Range Measurements},
  author={Emilia I Barakova and Uwe R. Zimmer},
  year={1999}
}
This article focuses on the problem of identifying and discriminating situations and trajectories (as sequences of situations) in an autonomous mobile robot setup. The static identification level of situations as well as the dynamical level of trajectories are based on egocentric measurements only. Adaptation to a specific operating environment is performed in an exploration phase and continuously during operation. Descriptions and classifications are based on statistical entities of the… CONTINUE READING

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