APPLYING QUALITATIVE TRAJECTORY CALCULUS TO HUMAN MOTION ANALYSIS: A CASE STUDY TOWARDS ROBOT SOCIAL PATH PLANNING
Аннотация
Qualitative Trajectory Calculus (QTC) offers a powerful set of tools towards selectable-granularity abstraction of relative trajectories of moving entities, while preserving essential aspects of their interaction. In this paper, we present a case study of an application of QTC towards analyzing human motion and interaction patterns in a shopping mall. The ultimate purpose of this study is to use the derived results towards tuning human-aware social path planning algorithms for robots cohabitating and interacting with humans in malls, and in other public spaces. This is increasingly important given the rapid rise of service robots and the need for human-aware navigation which maximizes the safety and comfort of humans while preserving social norms such as proxemics and personal spaces.
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