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检索条件"主题词=Iterative Closest Point algorithm"
1670 条 记 录,以下是41-50 订阅
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A Comparison of Global Optimizers Applied to point Cloud Registration
A Comparison of Global Optimizers Applied to Point Cloud Reg...
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International Conference on Control, Automation and Information Sciences (ICCAIS)
作者: Pablo Barrios Vicente Guzman Martin Adams Martin Rudorfer Dept. Electrical Eng. & AMTC Universidad de Chile Santiago Chile Dept. Electrical Eng. Universidad de Chile Santiago Chile Dept. Applied AI & Robotics Aston University Birmingham UK
Ahstract- The registration of point cloud data is essential in various applications, such as computer vision and robotics. The iterative closest point (ICP) algorithm offered a solution to this problem, with several s... 详细信息
来源: 评论
An improved ICP registration algorithm for 2D point cloud
An improved ICP registration algorithm for 2D point cloud
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Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP), International Conference on
作者: Duo Zhou Shibin Yin Hongbo Xie School of Precision Instrument and Opto-Electronics Engineering Tianjin University Tianjin China Isvision (Hangzhou) Technology Company Limited Hangzhou China
In this study, an improved iterative closest point (ICP) registration algorithm was proposed to address such problems as great time consumption of iterative calculations and relatively large registration errors in the... 详细信息
来源: 评论
Precise and Robust Color point Cloud Registration with Correntropy-Based ICP algorithm
Precise and Robust Color Point Cloud Registration with Corre...
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International Conference on Artificial Intelligence and Big Data (ICAIBD)
作者: Yuhuan Fan Jing Ma The Experimental High School Attached to Beijing Normal University Beijing China
The paper proposes a variant of the iterative closest point (ICP) algorithm for point cloud registration that addresses two main issues with existing ICP-based algorithms: the lack of precise and complete color inform... 详细信息
来源: 评论
point Set Registration Based on Adaptive Maximum Correntropy
Point Set Registration Based on Adaptive Maximum Correntropy
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System Simulation Technology and its Application (CCSSTA), IEEE China Conference on
作者: Yinfeng Shao Wenting Cui Liang Xu School of Electrical Engineering and Automation Tianjin University of Technology Tianjin China Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Xi’an China
Aiming at the problem that the iterative closest point algorithm has a lot of noise in data and poor robustness to outliers, this paper proposes a point set registration algorithm based on the adaptive maximum corrent... 详细信息
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Benchmarking Classical and Learning-Based Multibeam point Cloud Registration
Benchmarking Classical and Learning-Based Multibeam Point Cl...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Li Ling Jun Zhang Nils Bore John Folkesson Anna Wåhlin Division of Robotics Perception and Learning (RPL) KTH Royal Institute of Technology Stockholm Sweden Institute of Computer Graphics and Vision (ICGV) TU Graz Austria Ocean Infinity Västra Frölunda Sweden Department of Marine Sciences University of Gothenburg Sweden
Deep learning has shown promising results for multiple 3D point cloud registration datasets. However, in the underwater domain, most registration of multibeam echo-sounder (MBES) point cloud data are still performed u... 详细信息
来源: 评论
point Cloud Registration Method Based on Bidirectional Search and Curvature Information
Point Cloud Registration Method Based on Bidirectional Searc...
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Chinese Automation Congress (CAC)
作者: Lingyun Yang Xinming Xie Jinhu Niu Aimin An School of Electrical and Information Engineering Lanzhou University of Technology LanZhou China Network Center Department Lanzhou University of Technology LanZhou China Gansu Guokai New Energy Equipment Co. LTD Baiyin China
This paper addresses the problem of registering unorganized point clouds without prior information and proposes a robust automatic point cloud registration method. This method is designed to overcome the sensitivity o... 详细信息
来源: 评论
ScenE Similarity Recognition with Integrated High-Dimensional point Cloud Features
ScenE Similarity Recognition with Integrated High-Dimensiona...
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Chinese Automation Congress (CAC)
作者: Zenghui Xie Lin Wang Hao Fan College of Electric Power Inner Mongolia University of Technology Hohhot China College of Electric Power Shanghai Jiao Tong University Ningbo Artificial Intelligence Research Institute Ningbo China
To enhance the scene understanding capability of inspection robots in dynamic environments, this paper proposes a system for calculating scene similarity based on point cloud data to comprehend the connections between... 详细信息
来源: 评论
Registering Articulated Objects With Human-in-the-loop Corrections
Registering Articulated Objects With Human-in-the-loop Corre...
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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
作者: Hagenow, Michael Senft, Emmanuel Laske, Evan Hambuchen, Kimberly Fong, Terrence Radwin, Robert Gleicher, Michael Mutlu, Bilge Zinn, Michael Univ Wisconsin Dept Mech Engn Madison WI 53706 USA Univ Wisconsin Dept Comp Sci 1210 W Dayton St Madison WI 53706 USA NASA Johnson Space Ctr 2101 NASA Pkwy Houston TX 77058 USA NASA Ames Res Ctr Intelligent Robot Grp Mountain View CA 94035 USA Univ Wisconsin Dept Ind & Syst Engn Madison WI 53706 USA
Remotely programming robots to execute tasks often relies on registering objects of interest in the robot's environment. Frequently, these tasks involve articulating objects such as opening or closing a valve. How... 详细信息
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A Two-Stage point Cloud Registration Method for Knee Joint Replacement Navigation  3
A Two-Stage Point Cloud Registration Method for Knee Joint R...
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3rd World Robot Conference (WRC) / Symposium on Advanced Robotics and Automation (SARA)
作者: Wei Minhua Wang Chaoqun Zhou Haifeng Cheng Xiao Kuang Shaolong Sun Lining Soochow Univ Suzhou Jiangsu Peoples R China Soochow Univ Appl Technol Coll Suzhou Jiangsu Peoples R China Suzhou Key Lab Intelligent Med & Equipment Suzhou Jiangsu Peoples R China
To resolve the problem that the iterative closest point (ICP) algorithm commonly used in knee joint replacement surgery registration had low registration accuracy and was easy to fall into local optimal solutions. An ... 详细信息
来源: 评论
Robust Model-Predictive Control for Inductively Coupled Plasma Generation With a Semiphysical Simulation
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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2021年 第4期68卷 3380-3389页
作者: Wang, Junjie Liu, Yanming Liu, Xiaotao Li, Xiaoping Zhang, Haojie Wang, Di Xidian Univ Sch Aerosp Sci & Technol Plasma Electromagnet Phys Lab Extreme Environm Key LabMinist Educ China Xian 710071 Peoples R China China Informat Technol Design & Consulting Inst C Beijing 100048 Peoples R China
In this article, a novel robust tuning approach based on model-predictive control (MPC) for an inductively coupled plasma (ICP) generation process is presented. Several key aspects related to this methodology are the ... 详细信息
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