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Sepideh Hassani, Chih-Hung Chen and Natalia K. Nikolova
This paper addresses the design of ultra-wideband (UWB) impedance matching networks operating in the unlicensed 3.1?10.6 GHz frequency band for low-power applications. It improves the simplified real frequency technique (SRFT) by adding a realizability c...
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Irina Kochetkova, Kseniia Leonteva, Ibram Ghebrial, Anastasiya Vlaskina, Sofia Burtseva, Anna Kushchazli and Konstantin Samouylov
Fifth-generation (5G) networks provide network slicing capabilities, enabling the deployment of multiple logically isolated network slices on a single infrastructure platform to meet specific requirements of users. This paper focuses on modeling and anal...
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Zilu Zhao, Hui Long and Hongjian You
Satellite remote sensing has entered the era of big data due to the increase in the number of remote sensing satellites and imaging modes. This presents significant challenges for the processing of remote sensing systems and will result in extremely high...
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Tingwu Yan, Peijuan Li, Yiting Liu, Tong Jia, Hanqi Yu and Guangming Chen
In the functioning of the hand?eye collaboration of an apple picking robot, the accuracy of the hand?eye relationship is a key factor affecting the efficiency and accuracy of the robot?s operation. In order to enhance the low accuracy of traditional hand...
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Feihu Zhang, Diandian Xu and Chensheng Cheng
Multi-vehicle collaborative mapping proves more efficient in constructing maps in unfamiliar underwater environments in comparison to single-vehicle methods. One of the pivotal hurdles of Simultaneous Localization and Mapping (SLAM) with multiple underwa...
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Haichao Wang, Yong Yin and Qianfeng Jing
Accurate positioning and state estimation of surface vessels are prerequisites to achieving autonomous navigation. Recently, the rapid development of 3D LiDARs has promoted the autonomy of both land and aerial vehicles, which has aroused the interest of ...
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Xiangming Lei, Mingliang Wu, Yajun Li, Anwen Liu, Zhenhui Tang, Shang Chen and Yang Xiang
To achieve the rapid recognition and accurate picking of Camellia oleifera fruits, a binocular vision system composed of two industrial cameras was used to collect images of Camellia oleifera fruits in natural environments. The YOLOv7 convolutional neura...
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Haiyuan Cao, Deng Chen, Zhaohui Zheng, Yanduo Zhang, Huabing Zhou and Jianping Ju
Point cloud registration has a wide range of applications in 3D reconstruction, pose estimation, intelligent driving, heritage conservation, and digital cities. The traditional iterative closest point (ICP) algorithm has strong dependence on the initial ...
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Jian Li, Yipu Peng, Zhiyuan Tang and Zichao Li
To address the incomplete image data collection of close-to-ground structures, such as bridge piers and local features like the suspension cables in bridges, obtained from single unmanned aerial vehicle (UAV) oblique photography and the difficulty in acq...
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Sungmin Han, Jeonghyun Lee and Sangkyun Lee
Model induction is one of the most popular methods to extract information to better understand AI?s decisions by estimating the contribution of input features for a class of interest. However, we found a potential issue: most model induction methods, esp...
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