Modelling and Predicting Rhythmic Flow Patterns in Dynamic Environments

Molina Mellado, Sergi, Cielniak, Grzegorz, Krajník, Tomáš and Duckett, Tom (2018) Modelling and Predicting Rhythmic Flow Patterns in Dynamic Environments. In: TAROS, July 25-27, 2018, Bristol, UK.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


We present a time-dependent probabilistic map able to model and predict flow patterns of people in indoor environments. The proposed representation models the likelihood of motion direction on a grid-based map by a set of harmonic functions, which efficiently capture long-term (minutes to weeks) variations of crowd movements over time. The evaluation, performed on data from two real environments, shows that the proposed model enables prediction of human movement patterns in the future. Potential applications include human-aware motion planning, improving the efficiency and safety of robot navigation.

Keywords:mobile robotics, long-term autonomy, human activities
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:33448
Deposited On:19 Oct 2018 20:17

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