Accurate trajectory prediction in a smart building using recurrent neural networks-Reference-Cited by-同舟云学术

Accurate trajectory prediction in a smart building using recurrent neural networks

Published:2020-09-10 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
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Author:

Das Anooshmita¹,Kolvig-Raun Emil Stubbe¹,Kjærgaard Mikkel Baun¹

Affiliation:

1. University of Southern Denmark, Odense, Denmark

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3410530.3414319

Reference38 articles.

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2. [n.d.]. PC2 | Xovis. https://www.xovis.com/products/detail/pc2/. (Accessed on 01/19/2020). [n.d.]. PC2 | Xovis. https://www.xovis.com/products/detail/pc2/. (Accessed on 01/19/2020).

3. Automatic human trajectory destination prediction from video

4. Move, Attend and Predict: An attention-based neural model for people’s movement prediction

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