Comparative analysis of human motion trajectory prediction using minimum variance curvature

Gonzalo Ferrer, Alberto Sanfeliu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

The prediction of human motion intentionality is a key issue towards intelligent human robot interaction and robot navigation. In this work we present a comparative study of several prediction functions that are based on the minimum curvature variance from the current position to all the potential destination points, that means, the points that are relevant for people motion intentionality. The proposed predictor computes, at each interval of time, the trajectory from the present to the destination positions, and makes a prediction of the human motion at each interval of time using only the criterion of minimum curvature variation. The method has been validated in the Edinburgh Informatics Forum Pedestrian database.

Original languageEnglish
Title of host publicationHRI 2011 - Proceedings of the 6th ACM/IEEE International Conference on Human-Robot Interaction
Pages135-136
Number of pages2
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event6th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2011 - Lausanne, Switzerland
Duration: 6 Mar 20119 Mar 2011

Publication series

NameHRI 2011 - Proceedings of the 6th ACM/IEEE International Conference on Human-Robot Interaction

Conference

Conference6th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2011
Country/TerritorySwitzerland
CityLausanne
Period6/03/119/03/11

Keywords

  • Algorithms

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