Learning Compact Transformation Based on Dual Quaternion for Point Cloud Registration-Reference-Cited by-同舟云学术

Learning Compact Transformation Based on Dual Quaternion for Point Cloud Registration

Published:2024 Issue: Volume:73 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Yuan Yongzhe¹^ORCID,Wu Yue¹^ORCID,Lei Jiayi¹^ORCID,Hu Congying¹^ORCID,Gong Maoguo²^ORCID,Fan Xiaolong²^ORCID,Ma Wenping³^ORCID,Miao Qiguang¹^ORCID

Affiliation:

1. School of Computer Science and Technology, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi’an, China

2. School of Electronic Engineering, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi’an, China

3. School of Artificial Intelligence, Xidian University, Xi’an, China

Funder

National Natural Science Foundation of China

Natural Science Basic Research Plan in Shaanxi Province of China

Chinese Association for Artificial Intelligence (CAAI)-Huawei MINDSPORE Academic Open Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10381830.pdf?arnumber=10381830

Reference59 articles.

1. Targetless Extrinsic Calibration of Multiple Small FoV LiDARs and Cameras Using Adaptive Voxelization

2. Efficient and Reliable LiDAR-Based Global Localization of Mobile Robots Using Multiscale/Resolution Maps

3. Automatic Extrinsic Self-Calibration for Fusing Data From Monocular Vision and 3-D Laser Scanner

4. Retrieving Scale on Monocular Visual Odometry Using Low-Resolution Range Sensors

5. Camera-Mirror Binocular Vision-Based Method for Evaluating the Performance of Industrial Robots

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2. Iterative Overlap Attention-Aware Network With Similarity Learning for Partial Point Cloud Registration;IEEE Sensors Journal;2024-04-15

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