A Sim-to-Real Instance Segmentation Framework for Densely Stacked Cartons-Reference-Cited by-同舟云学术

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A Sim-to-Real Instance Segmentation Framework for Densely Stacked Cartons

Published:2024-06 Issue:6 Volume:9 Page:5775-5782
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Wang Xu¹^ORCID,Li Junliang¹^ORCID,Zheng Wenli²^ORCID,Luo Huanliang²^ORCID,Wang Faping³^ORCID,Chen Yongquan¹^ORCID,Huang Rui¹^ORCID

Affiliation:

1. Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen, China

2. Dapeng Customs of the People's Republic of China, Shenzhen, China

3. Shenzhen Haixing Intelligent Driving Technology Company, Ltd., Guangdong, China

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Research project of General Administration of Customs

People's Republic of China

Shenzhen Science and Technology Program

Shenzhen Institute of Artificial Intelligence and Robotics for Society

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7083369/10504377/10517615.pdf?arnumber=10517615

Reference39 articles.

1. A Computational Approach to Edge Detection

2. Use of the Hough transformation to detect lines and curves in pictures

3. Visual grasp control of robotic arm based on deep learning;Bai;Manned Spaceflight,2018

4. You Only Look Once: Unified, Real-Time Object Detection

5. Research on robot grabbing system based on faster R-CNN target detection;Zhang,2019

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