A context-augmented deep learning approach for worker trajectory prediction on unstructured and dynamic construction sites

Title
A context-augmented deep learning approach for worker trajectory prediction on unstructured and dynamic construction sites
Authors
Keywords
Trajectory prediction, Struck-by accident, Deep learning, Contextual information, Long short-term memory (LSTM)
Journal
ADVANCED ENGINEERING INFORMATICS
Volume 46, Issue -, Pages 101173
Publisher
Elsevier BV
Online
2020-09-15
DOI
10.1016/j.aei.2020.101173

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