ROV6D: 6D Pose Estimation Benchmark Dataset for Underwater Remotely Operated Vehicles-Reference-Cited by-同舟云学术

ROV6D: 6D Pose Estimation Benchmark Dataset for Underwater Remotely Operated Vehicles

Published:2024-01 Issue:1 Volume:9 Page:65-72
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Tang Jingyi¹^ORCID,Chen Zeyu¹^ORCID,Fu Bowen²^ORCID,Lu Wenjie³^ORCID,Li Shengquan⁴^ORCID,Li Xiu¹^ORCID,Ji Xiangyang²^ORCID

Affiliation:

1. Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

2. Department of Automation and BNRist, Tsinghua University, Beijing, China

3. Harbin Institute of Technology Shenzhen, Shenzhen, China

4. Peng Cheng Laboratory, Shenzhen, China

Funder

National Natural Science Foundation of China

Shenzhen Science and Technology Project

Shenzhen Stable Supporting Program

Shenzhen Key Laboratory of Next Generation Interactive Media Innovative Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10320104/10313927.pdf?arnumber=10313927

Reference48 articles.

1. A Revised Underwater Image Formation Model

2. T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-Less Objects

3. Computer modeling and the design of optimal underwater imaging systems

4. Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images

5. Autonomous Underwater Intervention: Experimental Results of the MARIS Project

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