Static force field representation of environments based on agents’ nonlinear motions

D. Campo, A. Betancourt, L. Marcenaro, C. Regazzoni

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    15 Citations (Scopus)
    83 Downloads (Pure)

    Abstract

    This paper presents a methodology that aims at the incremental representation of areas inside environments in terms of attractive forces. It is proposed a parametric representation of velocity fields ruling the dynamics of moving agents. It is assumed that attractive spots in the environment are responsible for modifying the motion of agents. A switching model is used to describe near and far velocity fields, which in turn are used to learn attractive characteristics of environments. The effect of such areas is considered radial over all the scene. Based on the estimation of attractive areas, a map that describes their effects in terms of their localizations, ranges of action, and intensities is derived in an online way. Information of static attractive areas is added dynamically into a set of filters that describes possible interactions between moving agents and an environment. The proposed approach is first evaluated on synthetic data; posteriorly, the method is applied on real trajectories coming from moving pedestrians in an indoor environment.

    Original languageEnglish
    Article number13
    Number of pages15
    JournalEurasip Journal on Advances in Signal Processing
    Volume2017
    Issue number1
    DOIs
    Publication statusPublished - 31 Jan 2017

    Keywords

    • Interactive force models
    • Kalman filtering
    • Representation of environments
    • Situation awareness
    • Trajectory analysis

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