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Learning pedestrian dynamics with kriging | IEEE Conference Publication | IEEE Xplore

Learning pedestrian dynamics with kriging


Abstract:

This paper proposes a method for learning pedestrian dynamics with kriging, which is a spatial interpolation method in geosciences. Pedestrian dynamics is generally restr...Show More

Abstract:

This paper proposes a method for learning pedestrian dynamics with kriging, which is a spatial interpolation method in geosciences. Pedestrian dynamics is generally restricted by other pedestrians and its restriction is caused by social interaction between them. In the proposed method, the social interaction is represented by spatio-temporal correlation of pedestrian dynamics and the correlation is estimated by kriging. As an application of the proposed method, the prediction of pedestrian movement is examined and its performance is evaluated with publicly available benchmark dataset. The experimental results show that 10-step ahead prediction is successful with more than 80% trajectories of the datasets if 2.0[m] distance error is allowed.
Date of Conference: 26-29 June 2016
Date Added to IEEE Xplore: 25 August 2016
ISBN Information:
Conference Location: Okayama, Japan

References

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