PAG-Net:Semantic Segmentation Network of 3D Point Clouds in Excavator Operation Scene based on Attention Mechanics and Ghost Convolutional-Reference-Cited by-同舟云学术

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PAG-Net:Semantic Segmentation Network of 3D Point Clouds in Excavator Operation Scene based on Attention Mechanics and Ghost Convolutional

Published:2024-06-07 Issue: Volume:30 Page:1520-1526
ISSN:
Container-title:2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
language:
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Author:

An Yi¹,Dong Congyao¹,Xie Lirong²,Fan Xibin³,Qiao Jianqiang⁴,Zhao Ziming¹

Affiliation:

1. Dalian University of Technology,School of Control Science and Engineering,Dalian,China,116023

2. Xinjiang University,School of Electrical Engineering,Urumqi,China,830017

3. Technology Center Taiyuan Heavy Industry Co., LTD,Taiyuan,China,030000

4. Mining Equipment Subco Taiyuan Heavy Industry Co., LTD,Taiyuan,China,030032

Funder

National Natural Science Foundation of China

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10598401/10598402/10598670.pdf?arnumber=10598670

Reference21 articles.

1. Strategic mining options optimization: Open pit mining, underground mining or both

2. The development of tele-operated electro-hydraulic actuator (T-EHA) for mini excavator tele-operation

3. Control of a heavy-duty robotic excavator using time delay control with integral sliding surface

4. On modeling, identification, and control of a heavy-duty electrohydraulic harvester manipulator

5. Robotic excavator motion control using a nonlinear proportional-integral controller and cross-coupled pre-compensation

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