Zobrazeno 1 - 10
of 355
pro vyhledávání: '"Yu Mingxin"'
Publikováno v:
Guangtongxin yanjiu, Pp 23003201-23003208 (2024)
【Objective】The baseline drift of the Fiber Bragg Grating (FBG) spectral signal is usually one of the main problems, caused by the complex external environment. A spectral baseline correction method based on the improved Long Short Term Memory (LS
Externí odkaz:
https://doaj.org/article/43866472304a47eab23a0a13968cef25
Publikováno v:
Hangkong bingqi, Vol 31, Iss 3, Pp 40-50 (2024)
Visual object tracking is a fundamental problem in computer vision. It has been widely used in civilian and military fields, such as battlefield reconnaissance, video surveillance, automatic driving, video analysis, and many other areas. In recent ye
Externí odkaz:
https://doaj.org/article/a70f213ecd2245858b6aca63da4a4322
Sampling-based motion planning methods for manipulators in crowded environments often suffer from expensive collision checking and high sampling complexity, which make them difficult to use in real time. To address this issue, we propose a new genera
Externí odkaz:
http://arxiv.org/abs/2404.01184
Publikováno v:
In Neurocomputing 28 September 2024 599
Publikováno v:
In Chemical Engineering Journal 15 September 2024 496
Publikováno v:
In Infrared Physics and Technology September 2024 141
Autor:
Wang, Zhenlu, Shi, Yanlong, Xu, Zihan, Sun, Mengmeng, Shen, Xin, Wu, Kun, Yu, Mingxin, Zhang, Le, Yu, Guohua
Publikováno v:
In Alexandria Engineering Journal July 2024 98:170-176
Part assembly is a typical but challenging task in robotics, where robots assemble a set of individual parts into a complete shape. In this paper, we develop a robotic assembly simulation environment for furniture assembly. We formulate the part asse
Externí odkaz:
http://arxiv.org/abs/2112.10143
Autor:
Zhao, Bingchen, Yu, Shaozuo, Ma, Wufei, Yu, Mingxin, Mei, Shenxiao, Wang, Angtian, He, Ju, Yuille, Alan, Kortylewski, Adam
Enhancing the robustness of vision algorithms in real-world scenarios is challenging. One reason is that existing robustness benchmarks are limited, as they either rely on synthetic data or ignore the effects of individual nuisance factors. We introd
Externí odkaz:
http://arxiv.org/abs/2111.14341
Publikováno v:
In Ocean Engineering 15 November 2024 312 Part 2