Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Jilai Song"'
Publikováno v:
Animals, Vol 13, Iss 5, p 897 (2023)
The construction of marine ranching is a concrete practice to fulfil the strategic objective of China’s maritime power. The shortage of funds has turned into an important issue to be resolved urgently in the modernization of marine ranching. This s
Externí odkaz:
https://doaj.org/article/97306cd10d4d464d9f890e09f887e333
Publikováno v:
Results in Physics, Vol 14, Iss , Pp - (2019)
In this paper, a novel depth acquisition algorithm aiming to obtain high resolution of dense depth maps based on lasers is proposed. Which expands the projection range and improves the robustness. In addition, dithering projection and defocusing tech
Externí odkaz:
https://doaj.org/article/8a6233c5b25f49d2a9d164559ecccc4b
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 31:4007-4019
Efficient and fast stereo matching is a challenging task due to the presence of occlusion and low texture areas. In stereo matching, the correspondence between left and right images may be difficult owing to the lack of matching information. The cost
Publikováno v:
Journal of Intelligent & Robotic Systems. 105
Autor:
Jilai Song, Xiao Liu, Lei Zhang, Mingmin Liu, Xiaochuang Huo, Zhenjun Du, Mingce Guo, Xiangrui Wu
Publikováno v:
2021 IEEE 11th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).
Improving the accuracy of the vehicle for the simultaneous localization and mapping (SLAM) by reducing the cumulative error has become a hot issue. In this paper, we propose a novel 3D Lidar SLAM method based on ground segmentation and loop detection
Publikováno v:
2021 IEEE 11th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).
We designed a lightweight SLAM system for mapping and positioning in complex environments. The real-time mapping and localization (SLAM) framework we built is mainly divided into two parts: front-end optimization, and back-end closed-loop detection.
Publikováno v:
2021 IEEE 11th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).
As industrial production becomes more modern and intelligent today, the inspection of product quality of the workshop is becoming more and more accustomed to replacing the old manual visual inspection methods with automated inspection systems. In the
Publikováno v:
2021 IEEE 11th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).
In this paper, we mainly improved the grasp detection network based on the grasp pose detection (GPD) algorithm. Three Network in Network (NIN) structure blocks are used as feature extraction modules, and a fully connected layer is used for classific
Publikováno v:
2020 Chinese Control And Decision Conference (CCDC).
This paper presents an adaptive filtering algorithm for monocular depth estimation. This is a geometric calculation method under the assumption that the inverse depth conforms to the Gaussian distribution. In the inverse depth update, the average val
Publikováno v:
2020 Chinese Control And Decision Conference (CCDC).
YOLOv3 has achieved good results in the field of object detection. In order to achieve multi-object grasping detection, the network structure has been improved. The improved YOLOv3 algorithm is applied to the object position and pose detection in rob