R2P: A Deep Learning Model from mmWave Radar to Point Cloud

Yue Sun; Honggang Zhang; Zhuoming Huang; Benyuan Liu

doi:10.1007/978-3-031-15919-0_28

R2P: A Deep Learning Model from mmWave Radar to Point Cloud

Yue Sun
, Honggang Zhang
, Zhuoming Huang
, Benyuan Liu

Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Proceedings
Editors	Elias Pimenidis, Mehmet Aydin, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	329-341
Number of pages	13
ISBN (Print)	9783031159183
DOIs	https://doi.org/10.1007/978-3-031-15919-0_28
State	Published - 2022
Event	31st International Conference on Artificial Neural Networks, ICANN 2022 - Bristol, United Kingdom Duration: Sep 6 2022 → Sep 9 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13529 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	31st International Conference on Artificial Neural Networks, ICANN 2022
Country/Territory	United Kingdom
City	Bristol
Period	9/6/22 → 9/9/22

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

3D reconstruction
Deep learning
mmWave radar
Point cloud

Access to Document

10.1007/978-3-031-15919-0_28

Cite this

Sun, Y., Zhang, H., Huang, Z., & Liu, B. (2022). R2P: A Deep Learning Model from mmWave Radar to Point Cloud. In E. Pimenidis, M. Aydin, P. Angelov, C. Jayne, & A. Papaleonidas (Eds.), Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Proceedings (pp. 329-341). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13529 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-15919-0_28

R2P: A Deep Learning Model from mmWave Radar to Point Cloud. / Sun, Yue; Zhang, Honggang; Huang, Zhuoming et al.
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Proceedings. ed. / Elias Pimenidis; Mehmet Aydin; Plamen Angelov; Chrisina Jayne; Antonios Papaleonidas. Springer Science and Business Media Deutschland GmbH, 2022. p. 329-341 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13529 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sun, Y, Zhang, H, Huang, Z & Liu, B 2022, R2P: A Deep Learning Model from mmWave Radar to Point Cloud. in E Pimenidis, M Aydin, P Angelov, C Jayne & A Papaleonidas (eds), Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13529 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 329-341, 31st International Conference on Artificial Neural Networks, ICANN 2022, Bristol, United Kingdom, 9/6/22. https://doi.org/10.1007/978-3-031-15919-0_28

Sun Y, Zhang H, Huang Z, Liu B. R2P: A Deep Learning Model from mmWave Radar to Point Cloud. In Pimenidis E, Aydin M, Angelov P, Jayne C, Papaleonidas A, editors, Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 329-341. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-15919-0_28

Sun, Yue ; Zhang, Honggang ; Huang, Zhuoming et al. / R2P : A Deep Learning Model from mmWave Radar to Point Cloud. Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Proceedings. editor / Elias Pimenidis ; Mehmet Aydin ; Plamen Angelov ; Chrisina Jayne ; Antonios Papaleonidas. Springer Science and Business Media Deutschland GmbH, 2022. pp. 329-341 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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