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      A Computationally Efficient Model for Pedestrian Motion Prediction

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          Abstract

          We present a mathematical model to predict pedestrian motion over a finite horizon, intended for use in collision avoidance algorithms for autonomous driving. The model is based on a road map structure, and assumes a rational pedestrian behavior. We compare our model with the state-of-the art and discuss its accuracy, and limitations, both in simulations and in comparison to real data.

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          Activity Forecasting

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            You'll never walk alone: Modeling social behavior for multi-target tracking

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              Context-Based Pedestrian Path Prediction

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                Author and article information

                Journal
                13 March 2018
                Article
                1803.04702
                f981f01d-176a-4590-9d50-e9852643901d

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                6 pages, 12 figures, 1 table, accepted to European Control Conference (ECC) 2018
                cs.SY

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