PillarGen: Enhancing Radar Point Cloud Density and Quality via Pillar-based Point Generation Network-Reference-Cited by-同舟云学术

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PillarGen: Enhancing Radar Point Cloud Density and Quality via Pillar-based Point Generation Network

Published:2024-05-13 Issue: Volume:31 Page:9117-9124
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Kim Jisong¹,Bang Geonho²,Choi Kwangjin²,Seong Minjae²,Yoo Jaechang³,Pyo Eunjong³,Choi Jun Won⁴

Affiliation:

1. Hanyang University,Department of Electrical Engineering,Seoul,Korea,04763

2. Hanyang University,Department of Artificial Intelligence,Seoul,Korea,04763

3. HL Klemove,Radar Innovation Lab,Seongnam,South Korea,13453

4. Seoul National University,College of Liberal Studies,Department of Electrical and Computer Engineering,Seoul,Korea,08826

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611144.pdf?arnumber=10611144

Reference51 articles.

1. Learning representations and generative models for 3d point clouds;Achlioptas

2. Neural machine translation by jointly learning to align and translate;Bahdanau,2014

3. nuScenes: A Multimodal Dataset for Autonomous Driving

4. AnchorFormer: Point Cloud Completion from Discriminative Nodes

5. StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation

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