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检索条件"主题词=Iterative Closest Point algorithm"
1673 条 记 录,以下是31-40 订阅
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A Path Correction Method Based on Global and Local Matching for Robotic Autonomous Systems
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JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS 2022年 第1期104卷 1-12页
作者: Wang, Nianfeng Shi, Xiaodong Zhong, Kaifan Zhang, Xianmin Chen, Wei South China Univ Technol Sch Mech & Automot Engn Guangdong Key Lab Precis Equipment & Mfg Technol Guangzhou 510640 Peoples R China Shenzhen Polytech Shenzhen 518055 Peoples R China
Normally, small batch parts, especially by manual assembly, are difficult to be manufactured automatically(e.g., welded, polished, sprayed) by robots because of deviation from a pre-taught path, which results from sha... 详细信息
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A feasibility study towards traceable calibration of size and form of microspheres by stitching AFM images using ICP point-to-plane algorithm
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MEASUREMENT SCIENCE AND TECHNOLOGY 2023年 第5期34卷 055009-055009页
作者: Dai, Gaoliang Degenhardt, Johannes Hu, Xiukun Wolff, Helmut Tutsch, Rainer Manske, Eberhard Phys Tech Bundesanstalt Bundesallee 100 D-38116 Braunschweig Germany China Jiliang Univ Coll Mat & Chem Hangzhou 310018 Peoples R China Tech Univ Carolo Wilhelmina Braunschweig IPROM Schleinitzstr 20 D-38106 Braunschweig Germany Tech Univ Ilmenau Inst Proc Measurement & Sensor Technol D-98694 Ilmenau Germany
We present a new method for traceable calibration of size and form error of microspheres, which was realised by stitching a series of atomic force microscopic (AFM) images measured at different orientations of microsp... 详细信息
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Three-dimensional point cloud registration algorithm based on the correlation coefficient
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JOURNAL OF ELECTRONIC IMAGING 2023年 第1期32卷 013010-013010页
作者: Zou, Xuyan He, Hanwu Li, Chaorong Guangdong Univ Technol Sch Electromech Engn Guangzhou Peoples R China Yibin Univ Dept Artificial Intelligence & Big Data Yibin Peoples R China
point cloud registration is an important research problem in machine vision. One of the most widely used methods for point set registration is the iterative closest point (ICP) algorithm. However, ICP is known to be s... 详细信息
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Foundations for Strip Adjustment of Airborne Laserscanning Data with Conformal Geometric Algebra
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ADVANCES IN APPLIED CLIFFORD ALGEBRAS 2022年 第1期32卷 1-34页
作者: Hitzer, Eckhard Benger, Werner Niederwieser, Manfred Baran, Ramona Steinbacher, Frank Int Christian Univ Tokyo Japan Airborne HydroMapping GmbH Feldstr 1b A-6020 Innsbruck Austria Louisiana State Univ Ctr Computat & Technol Baton Rouge LA 70803 USA
Typically, airborne laserscanning includes a laser mounted on an airplane or drone (its pulsed beam direction can scan in flight direction and perpendicular to it) an intertial positioning system of gyroscopes, and a ... 详细信息
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An Improved point Cloud Registration Strategy based on Simulated Annealing and Barzilai-Borwein Gradient
An Improved Point Cloud Registration Strategy based on Simul...
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Advanced algorithms and Control Engineering (ICAACE), International Conference on
作者: Dingfei Jin Ying Li Fang Wu Peiru Wu School of Automation and Electronic Information University of Xiangtan Xiangtan China
Three-dimensional (3D) point cloud registration is a fundamental problem in computer and robotic vision. The iterative closest point (ICP) is the most widely used registration method but it usually suffers from local ... 详细信息
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Enhancing Mesh and point Cloud Similarity Detection through Geometric Features and ICP
Enhancing Mesh and Point Cloud Similarity Detection through ...
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International Conference on Computer Science and Engineering (UBMK)
作者: Talha Rehman Abid Mehtap Öklü Cem Yildiz Ali Erman Erten Kamer Kaya Dakik Software Technologies Ankara Türkiye ERMETAL Bursa Türkiye Sabanci University Istanbul Türkiye
In this work, we propose a novel approach to assess the similarity between 3D data, aimed at enhancing the accuracy and robustness of 3D shape analysis. Our approach begins with the extraction of geometric features, i... 详细信息
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point Cloud Registration Method for Power Transmission Lines based on Combined Feature points
Point Cloud Registration Method for Power Transmission Lines...
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2024 8th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE)
作者: Ruitong Hu Wei Guo Wei Qian Xingfeng Mi Yang Liu Xu Shi Yiming Cao Sen Peng Zhenyu Xu Jingkai Zhu Nanjing NARI Information and Communication Technology Co. Ltd Nanjing China
In view of the problems that traditional point cloud registration algorithms are inefficient and prone to local optimality when processing large-scale power transmission line point cloud data, this paper proposes a po... 详细信息
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Research on the Application of TrICP-NDT Fusion Method in point cloud alignment
Research on the Application of TrICP-NDT Fusion Method in Po...
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Artificial Intelligence and Electromechanical Automation (AIEA), International Conference on
作者: Sen Wang Hanbing Yan Guoliang Zhang Wenyang Zhang Fei Luo Technology School of Automation chengdu Chengdu University of Information China Chengdu Southern Electronic Instrument Co. Ltd chengdu China
The TrICP-NDT point cloud matching algorithm is proposed to address the problem of traditional point cloud matching algorithms easily falling into local optima when the initial position deviation is large or there is ... 详细信息
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point Cloud Registration Network Based on Daul-Attention Mechanism For Truck Pose Estimation
Point Cloud Registration Network Based on Daul-Attention Mec...
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Youth Academic Annual Conference of Chinese Association of Automation (YAC)
作者: Yi An Hongliang Xu Yunfei Guo Jianqiang Qiao Zhuo Sun Lirong Xie School of Control Science and Engineering Dalian University of Technology Dalian China School of Electrical Engineering Xinjiang University Urumqi China State Key Laboratory of Intelligent Mining Equipment Technology Taiyuan China Mining Equipment Subco Taiyuan Heavy Industry Co. LTD Taiyuan China
Truck pose estimation is a pivotal technology for automating excavation and loading processes in intelligent mining excavators. The existing methods for pose estimation are mainly based on sensor measurements and trad... 详细信息
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Enhanced iteration closest point is based on stochastic differential evolution algorithm and random sampling
Enhanced iteration closest point is based on stochastic diff...
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International Conference on Computer Engineering and Applications (ICCEA)
作者: Shengwei Fu Ke Li Haisong Huang Yongpeng Zhao Key Laboratory of Advanced Manufacturing Technology Ministry of Education Guizhou University Guiyang China
To address the issue of low accuracy in 3D point cloud registration, we present a novel iterative closest point (ICP) algorithm for point registration using the stochastic differential evolution algorithm and random s... 详细信息
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