Research on Positioning and dimension measurement of truck compartment based on Semantic segmentation in automatic loading system-Reference-Cited by-同舟云学术

Research on Positioning and dimension measurement of truck compartment based on Semantic segmentation in automatic loading system

Published:2023-07-14 Issue: Volume: Page:
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Container-title:2023 6th International Conference on Signal Processing and Machine Learning (SPML)
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Author:

Ma Fengying¹^ORCID,Zhang Bowen¹^ORCID,Ji Peng¹^ORCID,Sun Yuhe¹^ORCID,Li Jie²^ORCID,Li Xuexin³^ORCID,Yan Wei³^ORCID,Wang Fengying⁴^ORCID,Mu Gaofeng⁴^ORCID

Affiliation:

1. School of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), China

2. China Unicom Research Institute, China

3. Shanke Huazhi (Shandong) Robot Co., Ltd., China

4. Shandong Mingda Electric Appliance Co., LTD, China

Funder

Key R&D plan of Shandong Province (major scientific and technological innovation project)

National Natural Science Foundation of China Youth Science Foundation Project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3614008.3614022

Reference21 articles.

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3. System based on Machine Vision[J];Lin J;International Core Journal of Engineering,2022

4. Sun H. On Application of Industrial Robot Based on Machine Vision in Recognition Instruction and Assembly[J]. Sun H. On Application of Industrial Robot Based on Machine Vision in Recognition Instruction and Assembly[J].

5. S. Rui , Y. Youchun , S. Yi , Z. Ke and D. Bo , " Design of Automatic Loading and Unloading System for Freight Car Handling Based on Intelligent Control," 2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) , 2020 , pp. 425 - 431 , doi: 10.1109/ICMTMA50254.2020.00098. 10.1109/ICMTMA50254.2020.00098 S. Rui, Y. Youchun, S. Yi, Z. Ke and D. Bo, "Design of Automatic Loading and Unloading System for Freight Car Handling Based on Intelligent Control," 2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), 2020, pp. 425-431, doi: 10.1109/ICMTMA50254.2020.00098.