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Bimodal Extended Kalman Filter-Based Pedestrian Trajectory Prediction

We propose a pedestrian trajectory prediction algorithm based on the bimodal extended Kalman filter. With this filter, we are able to make full use of the dual-state nature of the pedestrian movement, i.e., the pedestrian is either moving or remains stationary. We apply the dual-mode probability mod...

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Detalles Bibliográficos
Autores principales:	Lin, Chien-Yu, Kau, Lih-Jen, Chan, Ching-Yao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653947/ https://www.ncbi.nlm.nih.gov/pubmed/36365927 http://dx.doi.org/10.3390/s22218231

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