VFL3D: A Single-Stage Fine-Grained Lightweight Point Cloud 3D Object Detection Algorithm Based on Voxels-Reference-Cited by-同舟云学术

VFL3D: A Single-Stage Fine-Grained Lightweight Point Cloud 3D Object Detection Algorithm Based on Voxels

Published:2024-09 Issue:9 Volume:25 Page:12034-12048
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Li Bing¹,Chen Jie²^ORCID,Li Xinde³^ORCID,Xu Rui⁴,Li Qian⁴,Cao Yice⁴,Wu Jun⁴,Qu Lei⁴,Li Yingsong⁴^ORCID,Diniz Paulo S. R.⁵^ORCID

Affiliation:

1. School of Automation, Southeast University, Nanjing, China

2. Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei, China

3. Key Laboratory of Measurement and Control of CSE, School of Automation, Southeast University, Nanjing, China

4. School of Electronics and Information Engineering, Anhui University, Hefei, China

5. Program of Electrical Engineering and the Department of Electronics and Computer Engineering, COPPE/Poli, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil

Funder

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Sci-Tech Innovation 2030 Agenda

University Synergy Innovation Program of Anhui Province

Natural Science Foundation of Education Department of Anhui Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/10659279/10485453.pdf?arnumber=10485453

Reference61 articles.

1. Deep Learning for 3D Point Clouds: A Survey

2. Review: Deep Learning on 3D Point Clouds

3. An overview of 3D object detection;Wang;arXiv:2010.15614,2020

4. Like draws to like: A Multi-granularity Ball-Intra Fusion approach for fault diagnosis models to resists misleading by noisy labels

5. Multi-source information fusion: Progress and future

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