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UAV Path Planning with Terrain Constraints for Aerial Scanning.
期刊论文
IEEE Transactions on Intelligent Vehicles, 2024, 卷号: 9, 期号: 1, 页码: 1189-1203
作者:
Jinbiao Yuan
;
Zhenbao Liu
;
Xiaoyu Xiong
;
Yunfeng Ai
;
Long Chen
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/06/20
UAV Path Planning With Terrain Constraints for Aerial Scanning
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 1189-1203
作者:
Yuan, Jinbiao
;
Liu, Zhenbao
;
Xiong, Xiaoyu
;
Ai, Yunfeng
;
Chen, Long
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  |  
浏览/下载:0/0
  |  
提交时间:2024/07/22
Autonomous aerial vehicles
Optimization
Task analysis
Path planning
Turning
Kinematics
Trajectory
UAV
DRSN
SAC-PSO
path planning
terrain following
Hand Position Tracking based on Optimized Consistent Extended Kalman Filter
会议论文
中国合肥, 2022-8-15至2022-8-17
作者:
Lin, Tian
;
Wenchao, Xue
;
Long, Cheng
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  |  
浏览/下载:16/0
  |  
提交时间:2022/06/14
Space-based correction method for LED array misalignment in Fourier ptychographic microscopy
期刊论文
Optics Communications, 2022, 卷号: 514, 页码: 7
作者:
Y. Q. Zhu
;
M. L. Sun
;
P. L. Wu
;
Q. Q. Mu
;
L. Xuan
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  |  
浏览/下载:0/0
  |  
提交时间:2023/06/14
Study on Functional Mechanical Performance of Honeycomb Array Structures Inspired by Gideon Beetle
期刊论文
Journal of Bionic Engineering, 2022, 卷号: 19, 期号: 4, 页码: 1024-1035
作者:
R. Y. Liu
;
G. F. Yao
;
Z. Z. Xu
;
X. Guo
;
K. Y. Gao
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  |  
浏览/下载:1/0
  |  
提交时间:2023/06/14
A New CIGWO-Elman Hybrid Model for Power Load Forecasting
期刊论文
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2021, 卷号: 17, 期号: 2, 页码: 1319-1333
作者:
Hao, Jie
;
Zhu, Changsheng
;
Guo, Xiuting
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  |  
浏览/下载:15/0
  |  
提交时间:2021/12/17
Chaotic sequence
CIGWO-Elman
Feedback coefficient
Inertia weight
PSO
Power load forecasting
Random cosine function
A Dragonfly Optimization Algorithm for Extracting Maximum Power of Grid-Interfaced PV Systems
期刊论文
SUSTAINABILITY, 2021, 卷号: 13, 期号: 19, 页码: 27
作者:
Lodhi, Ehtisham
;
Wang, Fei-Yue
;
Xiong, Gang
;
Mallah, Ghulam Ali
;
Javed, Muhammad Yaqoob
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  |  
浏览/下载:42/0
  |  
提交时间:2022/01/27
photovoltaic (PV)
partial shading
maximum power point tracking (MPPT)
dragonfly optimization algorithm (DOA)
adaptive cuckoo search optimization (ACSO)
fruit fly optimization algorithm combined with general regression neural network (FFO-GRNN)
improved particle swarm optimization (IPSO)
voltage source inverter (VSI)
total harmonic distortion (THD)
Analyzing and optimizing yield formation of tomato introgression lines using plant model
期刊论文
EUPHYTICA, 2021, 卷号: 217, 期号: 6, 页码: 17
作者:
Kang, Mengzhen
;
Wang, Xiujuan
;
Qi, Rui
;
Jia, Zhi-Qi
;
de Reffye, Philippe
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  |  
浏览/下载:60/0
  |  
提交时间:2021/06/07
GreenLab model
Yield formation
Parameter estimation
Tomato introgression line
Optimization
BBPSO-PF algorithm based on GPU parallel optimization
期刊论文
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2021, 卷号: 49, 期号: 3, 页码: 12-17
作者:
Cao, Jie
;
Hu, Wendong
;
Wang, Jinhua
;
Yu, Ping
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2021/06/03
Digital storage
Graphics processing unit
Memory architecture
Monte Carlo methods
Particle interactions
Particle swarm optimization (PSO)
Bare-bones particle swarm optimizations
Graphic processing unit(GPU)
Multithreaded architecture
Parallel optimization
Particle clusters
Particle filter
Particle filter algorithms
Real time performance
An improved particle swarm optimization algorithm and its application in solving forward kinematics of a 3-DoF parallel manipulator
期刊论文
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2021, 卷号: 235, 期号: 5, 页码: 896-907
作者:
Zhang, Shuzhen
;
Yuan, Xiaolong
;
Docherty, Paul D
;
Yang, Kai
;
Li, Chunling
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/06/03
Benchmarking
Degrees of freedom (mechanics)
Inverse kinematics
Manipulators
Parameter estimation
Particle swarm optimization (PSO)
Reactive power
Stochastic systems
Complex optimization problems
Fast convergence speed
Improved particle swarm optimization algorithms
Mechanism simulation
Optimization problems
Parallel manipulators
Particle swarm optimization method
Three degree of freedoms
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