A Probabilistic Model for Real-Time Semantic Prediction of Human Motion Intentions from RGBD-Data

A Probabilistic Model for Real-Time Semantic Prediction of Human Motion Intentions from RGBD-Data

For robots to execute their navigation tasks both fast and safely in the presence of humans, it is necessary to make predictions about the route those humans intend to follow. Within this work, a model-based method is proposed that relates human motion behavior perceived from RGBD input to the const...

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Bibliographic Details
Main Authors: Wouter Houtman, Gosse Bijlenga, Elena Torta, René van de Molengraft
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
human intention estimation
probabilistic reasoning
indoor navigation
semantic reasoning
Online Access:https://www.mdpi.com/1424-8220/21/12/4141

Internet

https://www.mdpi.com/1424-8220/21/12/4141

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