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Abstract:This paper aims to explore the problem of trajectory prediction in heterogeneous pedestrian zones, where social dynamics representation is a big challenge. Proposed is an end-to-end learning framework for prediction accuracy improvement based on an attention mechanism to learn social interaction from multi-factor inputs.
* ACM/IEEE International Conference on Human-Robot Interaction.
Workshop on The Forgotten in HRI: Incidental Encounters with Robots in Public
Spaces, 2020 * Submitted 23 March 2020