Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Zedong Huang"'
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 8 (2024)
Intelligent apple-picking robots can significantly improve the efficiency of apple picking, and the realization of fast and accurate recognition and localization of apples is the prerequisite and foundation for the operation of picking robots. Existi
Externí odkaz:
https://doaj.org/article/e8a9dd1131124e4796dbf6cc21090ea9
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 12, Pp 20971-20994 (2023)
As an essential part of electronic component assembly, it is crucial to rapidly and accurately detect electronic components. Therefore, a lightweight electronic component detection method based on knowledge distillation is proposed in this study. Fir
Externí odkaz:
https://doaj.org/article/64fbea5db1144f499062736a3bd25673
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 12, Pp 12601-12616 (2022)
This paper addresses the robust enhancement problem in the control of robot manipulators. A new hierarchical multiloop model predictive control (MPC) scheme is proposed by combining an inverse dynamics-based feedback linearization and a nonlinear dis
Externí odkaz:
https://doaj.org/article/b9626d46a2ae47e19c9e4cf2f073b54a
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 9, Pp 9371-9387 (2022)
Due to nonlinearity and uncertainty of the robotic manipulator, the design of the robot controller has a crucial impact on its performance of motion and trajectory tracking. In this paper, the linear parameter varying (LPV) - model predictive control
Externí odkaz:
https://doaj.org/article/bf354fe051d347d097bce5d39bad4182
Publikováno v:
PLoS ONE, Vol 17, Iss 2 (2022)
Recent stereo matching methods, especially end-to-end deep stereo matching networks, have achieved remarkable performance in the fields of autonomous driving and depth sensing. However, state-of-the-art stereo algorithms, even with the deep neural ne
Externí odkaz:
https://doaj.org/article/00b20e4a76bf43039f94aabcac81d431
Publikováno v:
PLoS ONE, Vol 16, Iss 8, p e0251657 (2021)
Deep learning based on a convolutional neural network (CNN) has been successfully applied to stereo matching. Compared with the traditional method, the speed and accuracy of this method have been greatly improved. However, the existing stereo matchin
Externí odkaz:
https://doaj.org/article/318bf79f1e0f4d60a0d3ba5b0d223b02
Publikováno v:
Advances in Mechanical Engineering, Vol 9 (2017)
The purpose of this article is to describe a deformation corrected workflow for maxillofacial prosthesis modelling based on the improved Laplace and iterative closest point–based iterative algorithms. For incomplete maxillofacial data with local de
Externí odkaz:
https://doaj.org/article/ab2000da3d4741c7838689fa0d804464
Publikováno v:
Applied Sciences, Vol 9, Iss 18, p 3750 (2019)
Target detection of electronic components on PCB (Printed circuit board) based on vision is the core technology for 3C (Computer, Communication and Consumer Electronics) manufacturing companies to achieve quality control and intelligent assembly of r
Externí odkaz:
https://doaj.org/article/89226a25598444069bdc20b80039193e
Publikováno v:
International Conference on Optical and Photonic Engineering (icOPEN 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::071009b594397fca3e21149cac5cab55
https://doi.org/10.1117/12.2667012
https://doi.org/10.1117/12.2667012
Publikováno v:
Electronics; Volume 11; Issue 12; Pages: 1812
To improve the accuracy of using deep neural networks to predict the depth information of a single image, we proposed an unsupervised convolutional neural network for single-image depth estimation. Firstly, the network is improved by introducing a de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fdb4bcaa125145e4c325b9c0a946eae