Minimal predicted distance: a kinematic cue to investigate collision avoidance between walkers

Anne-Hélène Olivier 1, * Antoine Marin 2 Armel Crétual 1, 2 Julien Pettré 1
* Corresponding author
1 MIMETIC - Analysis-Synthesis Approach for Virtual Human Simulation
UR2 - Université de Rennes 2, Inria Rennes – Bretagne Atlantique , IRISA-D6 - MEDIA ET INTERACTIONS
Abstract : Collision-free navigation requires avoiding static and moving obstacles as well as other humans. Our objective was to identify the conditions that lead to avoidance manoeuvres in locomotor trajectories of two walkers. Based on the assumption of a reciprocal interaction, we suggested a mutual variable, the Minimum Predicted Distance (MPD), which emphasises the risk of collision and describes the general collision avoidance behaviour. We concluded that walkers are able to accurately predict crossing distances and to react accordingly. The avoidance is performed with anticipation, i.e., maneuvers are ended time before interaction ended. However, our analysis focused on the mutual aspects of interaction. Future work is still required to investigate the nature of each walker reactions to avoid collisions
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Anne-Hélène Olivier, Antoine Marin, Armel Crétual, Julien Pettré. Minimal predicted distance: a kinematic cue to investigate collision avoidance between walkers. Société de Biomécanique, Oct 2012, Toulouse, France. pp.240-242, ⟨10.1080/10255842.2012.7136⟩. ⟨hal-00759908⟩

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