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检索条件"主题词=Iterative Closest Point algorithm"
1671 条 记 录,以下是71-80 订阅
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TOF camera point cloud registration algorithm based on image fusion
TOF camera point cloud registration algorithm based on image...
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Computer Technologies (ICCTech), International Conference on
作者: Fengyuan Shi Di Pan Lihui Jiang Xuan Liu Zhaolun Wen Shanghai Key Laboratory of Aerospace Control Technology Institute Shanghai Aerospace Control Technology Institute Shanghai China
Aiming at the problem that the ICP (iterative closest point) algorithm tends to fall into the local minimum, a TOF(Time-Of-Flight) camera point cloud registration algorithm based on image fusion is proposed. Taking th... 详细信息
来源: 评论
Visual SLAM Indoor 3D Map Construction Based on Kinect V1 Camera
Visual SLAM Indoor 3D Map Construction Based on Kinect V1 Ca...
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Signal Processing and Intelligent Computing (SPIC), International Conference on
作者: Jun Liu Haolun Sheng Jiabao Zhang Shenyang Ligong University Shenyang China
The visual SLAM (Simultaneous Localization and Mapping) algorithm is widely used in fields such as unmanned driving, robot cruising, and VR, and there is an urgent need to conduct in-depth research on the three-dimens... 详细信息
来源: 评论
LOL: Lidar-only Odometry and Localization in 3D point cloud maps
LOL: Lidar-only Odometry and Localization in 3D point cloud ...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Rozenberszki, David Majdik, Andras L. Hungarian Acad Sci Inst Comp Sci & Control Machine Percept Res Lab MTA SZTAKI H-1111 Budapest Hungary
In this paper we deal with the problem of odometry and localization for Lidar-equipped vehicles driving in urban environments, where a premade target map exists to localize against. In our problem formulation, to corr... 详细信息
来源: 评论
Rigid 3-D Registration: A Simple Method Free of SVD and Eigendecomposition
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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2020年 第10期69卷 8288-8303页
作者: Wu, Jin Univ Elect Sci & Technol China Sch Aeronaut & Astronaut Chengdu 611731 Peoples R China Hong Kong Univ Sci & Technol Dept Elect & Comp Engn Hong Kong Peoples R China Tencent Robot X Shenzhen 518000 Peoples R China
The 3-D registration is extensively required in many industrial applications involving 3-D perception and reconstruction. However, conventional methods consisting of singular value decomposition (SVD) or eigendecompos... 详细信息
来源: 评论
RPM-Net: Robust point Matching using Learned Features
RPM-Net: Robust Point Matching using Learned Features
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IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Yew, Zi Jian Lee, Gim Hee Natl Univ Singapore Dept Comp Sci Singapore Singapore
iterative closest point (ICP) solves the rigid point cloud registration problem iteratively in two steps: (1) make hard assignments of spatially closest point correspondences, and then (2) find the least-squares rigid... 详细信息
来源: 评论
Adaptive Maximal Blood Flow Velocity Estimation From Transcranial Doppler Echos
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IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE 2020年 8卷 1800511页
作者: Wadehn, Federico Heldt, Thomas Swiss Fed Inst Technol Dept Elect Engn CH-8092 Zurich Switzerland MIT Inst Med Engn & Sci Dept Elect Engn & Comp Sci Cambridge MA 02139 USA MIT Res Lab Elect Cambridge MA 02139 USA
Objective: Novel applications of transcranial Doppler (TCD) ultrasonography, such as the assessment of cerebral vessel narrowing/occlusion or the non-invasive estimation of intracranial pressure (ICP), require high-qu... 详细信息
来源: 评论
Coarse-to-fine 3D road model registration for traffic video augmentation
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IET IMAGE PROCESSING 2020年 第12期14卷 2690-2700页
作者: Cui, Zhichao Li, Yaochen Zhang, Chi Liu, Yuehu Ren, Fuji Xi An Jiao Tong Univ Coll Artificial Intelligence Xian 710049 Shaanxi Peoples R China Tokushima Univ Sch Adv Technol & Sci Tokushima Tokushima Japan Xi An Jiao Tong Univ Sch Software Engn Xian Peoples R China
This study addresses the problem of non-perspective pose estimation from line correspondences in the traffic scenarios. A coarse-to-fine 3D road registration method is proposed for this problem in two stages. Firstly,... 详细信息
来源: 评论
AI-ENABLED NEXT-GENERATION COMMUNICATION NETWORKS: INTELLIGENT AGENT AND AI ROUTER
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IEEE WIRELESS COMMUNICATIONS 2020年 第6期27卷 129-133页
作者: Jiang, Chunxiao Ge, Ning Kuang, Linling Tsinghua Univ Sch Informat Sci & Technol Beijing Peoples R China Tsinghua Univ Dept Elect Engn Beijing Peoples R China Tsinghua Univ Beijing Peoples R China
Nowadays, network users' demands for low latency services and individual data security grow rapidly. In this article, we conceive a new communication network architecture based on the concept of intelligent agents... 详细信息
来源: 评论
A Coarse-to-Fine Generalized-ICP algorithm With Trimmed Strategy
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IEEE ACCESS 2020年 8卷 40692-40703页
作者: Wang, Xin Li, Yun Peng, Yaxin Ying, Shihui Shanghai Univ Sch Sci Dept Math Shanghai 200444 Peoples R China
In this paper, we introduce a modified Generalized iterative closest point (GICP) algorithm by presenting a coarse-to-fine strategy. Our contributions can be summarized as: Firstly, we use adaptively a plane-to-plane ... 详细信息
来源: 评论
Non-Uniform Network Mapping and Localization
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IEEE ACCESS 2020年 8卷 79708-79715页
作者: Liu, Wei Yang, Yanxi Wang, Wenqing Xian Univ Technol Coll Automat & Informat Engn Dept Informat & Control Engn Xian 710048 Peoples R China
The purpose of this paper is to establish a new simultaneous localization and mapping (SLAM) framework, which can make better use of the spatial structure of the environment, to improve the robustness and reliability ... 详细信息
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