Search Results - "Qu, Chengzhi"

Reinforcement Learning-Based Data Association for Multiple Target Tracking in Clutter by Qu, Chengzhi, Zhang, Yan, Zhang, Xin, Yang, Yang

“…Data association is a crucial component of multiple target tracking, in which each measurement obtained by the sensor can be determined whether it belongs to…”
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Numerical semi-empirical modeling of lidar attenuation characteristics in atmosphere by Tan, Zhuangbin, Zhang, Yan, Yang, Yang, Chen, Jintao, Qu, Chengzhi, Ma, Feifan

“…Long-distance measurement of lidar is a critical problem in various fields, such as airborne lidar detection, surveying, and mapping. Attenuation…”
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Fast and robust motion averaging via angle constraints of multi‐view range scans by Zhang, Xin, Zhang, Yan, Qu, Chengzhi, Tan, Zhuangbin

“…The motion averaging problem arises when recovering the motions for a set of scans in three‐dimensional (3D) reconstruction. Motion averaging is taken as an…”
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A novel hybrid meta-heuristic algorithm for optimization problems by Gai, Wendong, Qu, Chengzhi, Liu, Jie, Zhang, Jing

“…This paper presents a novel hybrid meta-heuristic algorithm called HMGSG to solve the optimization problems. In the proposed HMGSG algorithm, a spiral-shaped…”
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Trajectory tracking control for a quadrotor UAV via extended state observer by Gai, Wendong, Liu, Jie, Qu, Chengzhi, Zhang, Jing

“…In this paper, the PD-type trajectory tracking controllevnr with the extended state observer (ESO) is proposed for the quadrotor unmanned aerial vehicle (UAV)…”
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A novel reinforcement learning based grey wolf optimizer algorithm for unmanned aerial vehicles (UAVs) path planning by Qu, Chengzhi, Gai, Wendong, Zhong, Maiying, Zhang, Jing

“…Unmanned aerial vehicles (UAVs) have been used in wide range of areas, and a high-quality path planning method is needed for UAVs to satisfy their…”
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A novel hybrid grey wolf optimizer algorithm for unmanned aerial vehicle (UAV) path planning by Qu, Chengzhi, Gai, Wendong, Zhang, Jing, Zhong, Maiying

“…Unmanned aerial vehicle (UAV) path planning problem is an important component of UAV mission planning system, which needs to obtain optimal route in the…”
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Point clouds denoising method based on SPAD discrete probability model and completion by Qu, Chengzhi, Zhang, Yan, Sun, Ziwen, Ma, Feifan, Zhang, Xin

“…The laser imaging system based on Single-photon avalanche diodes (SPAD) has demonstrated significant promise in long-range or low-power detection. However, the…”
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Analysis on the Characteristic of the Instantaneous Inrush Current of Brushless Doubly Fed Induction Generator by Zhang, Debin, Ma, Jijun, Wang, Shengjia, Ji, Yuhui, Qu, Chengzhi

“…Compared with the traditional doubly-fed induction generator (DFIG), the brushless doubly-fed induction generator (BDFIG) eliminates the slip rings and brush…”
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Parameter optimization for point clouds denoising based on no-reference quality assessment by Qu, Chengzhi, Zhang, Yan, Ma, Feifan, Huang, Kun

“…Almost all point clouds denoising methods contain various parameters, which need to be set carefully to acquire desired results. In this paper, we introduce an…”
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Point Clouds Outlier Removal Method Based on Improved Mahalanobis and Completion by Qu, Chengzhi, Zhang, Yan, Huang, Kun, Wang, Shuang, Yang, Yang

“…Point clouds have been regarded as a representative format for 3D visualization of real-world objects or scenes. However, point clouds acquired from depth…”
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Modeling of secondary LLC resonant converter based on full frequency range extended describing function method by Lu, Honglin, Zhang, Debin, Qu, Chengzhi, Li, Jiaqi, Wu, Chenhao, Zhou, Guangrui

“…The LLC resonant converter is widely used in different industries such as photovoltaic and electric vehicles due to the high efficiency. In order to obtain a…”
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Improved nonlinear dynamic inverse Guidance-based collision avoidance For UAVs by WenDong Gai, Ning Zhang, Jie Liu, ChengZhi Qu, ZhiFu Chang, Jing Zhang

“…An improved nonlinear dynamic inverse guidance law is proposed for the problem of UAVs collision avoidance in this paper. First, a method based on collision…”
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Research on Image Alignment and Image Processing Based on Deep Learning by Qu, Chenhang, Qu, Chengzhi, Gu, Wenhao

“…Image alignment is a typical problem and technical difficulty in image processing, and using reasonable image alignment algorithms can accurately integrate…”
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Modeling and Analysis of Brushless Doubly-Fed Induction Generators with Non-Ideal Grids by Lu, Honglin, Zhang, Debin, Qu, Chengzhi, Zhang, Zhongsong

“…Brushless Doubly-Fed Induction Generators (BDFIG) increase reliability and decrease maintenance cost because it removes the brushes and slip rings of the…”
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Long Life Design Method for Highly Reliable Charge and Discharge Regulator by Jiang, Kun, Zhang, Debin, Liu, Yu, Jiang, Yue, Qu, Chengzhi, Ma, Jijun

“…The leapfrog development of space power supply products brings new challenges to reliability engineering. Space power controllers have long life and high…”
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Multi-target Track-to-Track Association Based on Relative Coordinate Assignment Matrix by Chen, Jintao, Zhang, Yan, Yang, Yang, Qu, Chengzhi

“…Multi-sensor data fusion has been widely recognized to improve the performance of multi-target tracking. Track-to-track association (TTTA) must be completed…”
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Research on Control for Grid-Connected Brushless Doubly-Fed Power Generation System Under Different Quantities by Zhang, Debin, Ma, Jijun, Wang, Shengjia, Ji, Yuhui, Jiang, Kun, Qu, Chengzhi

“…Brushless doubly-fed induction generator (BDFIG) promises significant advantages such as high reliability and low maintenance costs, which shows commercial…”
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An improved grey wolf algorithm for global optimization by Gai, Wendong, Qu, Chengzhi, Liu, Jie, Zhang, Jing

“…This paper presents a novel improved grey wolf optimization (IGWO) to avoid local minimization and premature convergence. In the proposed IGWO algorithm, a…”
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Research on the Unbalanced Load for Brushless Doubly Fed Induction Generation System on Predictive Current Control by Zhang, Debin, Ma, Jijun, Wang, Shengjia, Ji, Yuhui, Hu, Wenbin, Qu, Chengzhi

“…Brushless doubly-fed induction generator (BDFIG) shows broad application prospects in grid-connected mode and stand-alone mode due to the high reliability and…”
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