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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Detalles Bibliográficos
Autores principales: Houtman, Wouter, Bijlenga, Gosse, Torta, Elena, van de Molengraft, René
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234403/
https://www.ncbi.nlm.nih.gov/pubmed/34208704
http://dx.doi.org/10.3390/s21124141

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234403/
https://www.ncbi.nlm.nih.gov/pubmed/34208704
http://dx.doi.org/10.3390/s21124141

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