DGCNN on FPGA: Acceleration of the Point Cloud Classifier Using FPGAs-Reference-Cited by-同舟云学术

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DGCNN on FPGA: Acceleration of the Point Cloud Classifier Using FPGAs

Published:2022-10-06 Issue:2 Volume:42 Page:748-779
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Jamali Golzar Saleh,Karimian Ghader,Shoaran Maryam,Fattahi Sani Mohammad

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s00034-022-02179-0.pdf

Reference33 articles.

1. F. Albu, J. Kadlec, C. Softley, R. Matousek, A. Hermanek, N. Coleman, A. Fagan, Implementation of (normalised) RLS lattice on virtex, in Field-Programmable Logic and Applications. ed. by G. Brebner, R. Woods (Springer, Berlin Heidelberg, Berlin, Heidelberg, 2001), pp.91–100

2. F. Albu, J. Kadlec, N. Coleman, A. Fagan, Pipelined implementations of the a priori error-feedback LSL algorithm using logarithmic arithmetic, in 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3 (2002), pp. III-2681–III-2684. https://doi.org/10.1109/ICASSP.2002.5745200

3. L. Bai, Y. Lyu, X. Xu, X. Huang, PointNet on FPGA for real-time LiDAR point cloud processing, in 2020 IEEE International Symposium on Circuits and Systems (ISCAS) (2020), pp. 1–5. https://doi.org/10.1109/ISCAS45731.2020.9180841

4. A.X. Chang, T. Funkhouser, L. Guibas, P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, J. Xiao, L. Yi, F. Yu, ShapeNet: An Information-Rich 3D Model Repository, arXiv preprint, arXiv (2015). https://doi.org/10.48550/ARXIV.1512.03012

5. R.Q. Charles, H. Su, M. Kaichun, L.J. Guibas, PointNet: deep learning on point sets for 3D classification and segmentation, in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017), pp. 77–85. https://doi.org/10.1109/CVPR.2017.16

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