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Fengxu Wang, Wenfu Xu, Lei Yan, Chengqing Xie and Weihua Pu
Accurately estimating the pose of spacecraft is indispensable for space applications. However, such targets are generally non-cooperative, i.e., no markers are mounted on them, and they include no parts for operation. Therefore, the detection and measure...
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Yiqun Li, Shaoqiang Liang, Jiahui Gao, Zong Chen, Siyuan Qiao and Zhouping Yin
Due to the limitation of space rover onboard computing resources and energy, there is an urgent need for high-quality drive trajectories in complex environments, which can be provided by delicately designed motion optimization methods. The nonconvexity o...
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Linghui Kong, Haizhong Qian, Yuqing Wu, Xinyu Niu, Di Wang and Zhekun Huang
Building outlines are important for emergency response, urban planning, and change analysis and can be quickly extracted from remote sensing images and raster maps using deep learning technology. However, such building outlines often have irregular bound...
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Rafal S. Jurecki and Tomasz L. Stanczyk
This article presents a short description of mathematical driver models. In the literature, there are no models that are generally considered fully satisfactory for use in analysing drivers? behaviour in emergencies. This paper presents a concept of mode...
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Adnan Alhaj Hasan, Aleksey A. Kvasnikov, Dmitriy V. Klyukin, Anton A. Ivanov, Alexander V. Demakov, Dmitry M. Mochalov and Sergei P. Kuksenko
This paper focuses on antenna modeling using wire-grid and surface triangulation as two of the most commonly used MoM-based approaches in this field. A comprehensive overview is provided for each of them, including their history, applications, and limita...
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Ruixue Zhu, Fengqi Hao and Dexin Ma
Object detection in deep learning provides a viable solution for detecting crop-pest-infected regions. However, existing rectangle-based object detection methods are insufficient to accurately detect the shape of pest-infected regions. In addition, the m...
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Jianing Wang, Xiaodong Wang and Yunhui Li
Space-based wide-field surveillance systems are of great significance in maintaining the security of space resources by avoiding collisions between space targets. However, their performance is hindered by stray light phenomena. The nonuniform background ...
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Mohammad Mohammadzadeh Babr, Maryam Faghihabdolahi, Danijela Ristic-Durrant and Kai Michels
Instance segmentation of overlapping plants to detect their grasps for possible robotic grasping presents a challenging task due to the need to address the problem of occlusion. We addressed the problem of occlusion using a powerful convolutional neural ...
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Yuliang Wang, Zhaohui Wang, Yunlong Zhou, Zhinian Yang and Yumin Zhang
At present, most precast shear walls are implemented in accordance with the method equivalent to a cast-in-place structure, where the joint is complicated, and the construction is difficult. According to the characteristics of precast shear wall structur...
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Zhixiong Chen, Yilang Shen, Xinlin Lv, Qiaolin Qin and Xin Chen
To better satisfy user?s needs for the accurate visualization of massive amounts of geographic data, the variable-scale expression of map content based on multilevel data organization has attracted increasing attention. Traditional methods based on vecto...
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