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Título

Comparative analysis of human motion trajectory prediction using minimum variance curvature

Autor Ferrer, Gonzalo ; Sanfeliu, Alberto
Fecha de publicación 2011
EditorInstitute of Electrical and Electronics Engineers
Citación 6th ACM/IEEE International Conference on Human-Robot Interaction: 2167-2121 (2011)
ResumenThe prediction of human motion intention 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 intention. 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.
Descripción Presentado al 6th HRI celebrado en Lausanne (Suiza) del 8 al 11 de marzo de 2011.
URI http://hdl.handle.net/10261/97487
Identificadoresisbn: 978-1-4673-4393-0
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