Exploiting Label Uncertainty for Enhanced 3D Object Detection From Point Clouds-Reference-Cited by-同舟云学术

Exploiting Label Uncertainty for Enhanced 3D Object Detection From Point Clouds

Published:2024-06 Issue:6 Volume:25 Page:6074-6089
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Sun Yang¹^ORCID,Lu Bin¹^ORCID,Liu Yonghuai²^ORCID,Yang Zhenyu¹^ORCID,Behera Ardhendu²^ORCID,Song Ran³^ORCID,Yuan Hejin¹,Jiang Haiyan⁴

Affiliation:

1. Engineering Research Center of Intelligent Computing for Complex Energy Systems, Ministry of Education, North China Electric Power University, Baoding, China

2. Intelligent Visual Computing Research Centre, Edge Hill University, Ormskirk, Lancashire, U.K.

3. School of Control Science and Engineering, Shandong University, Jinan, China

4. College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, China

Funder

UK Research and Innovation (UKRI)-Engineering and Physical Sciences Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/10543072/10378971.pdf?arnumber=10378971

Reference52 articles.

1. Point-Voxel and Bird-Eye-View Representation Aggregation Network for Single Stage 3D Object Detection

2. PV-EncoNet: Fast Object Detection Based on Colored Point Cloud

3. Are we ready for autonomous driving? The KITTI vision benchmark suite

4. SECOND: Sparsely Embedded Convolutional Detection

5. PointPillars: Fast Encoders for Object Detection From Point Clouds

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. VFL3D: A Single-Stage Fine-Grained Lightweight Point Cloud 3D Object Detection Algorithm Based on Voxels;IEEE Transactions on Intelligent Transportation Systems;2024-09

2. S$^{2}$CNet: Semantic and Structure Completion Network for 3D Object Detection;IEEE Transactions on Intelligent Transportation Systems;2024