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检索条件"主题词=SLAM algorithms"
9 条 记 录,以下是1-10 订阅
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Embedding slam algorithms: Has it come of age?
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ROBOTICS AND AUTONOMOUS SYSTEMS 2018年 100卷 14-26页
作者: Abouzahir, Mohamed Elouardi, Abdeihafid Latif, Rachid Bouaziz, Samir Tajer, Abdelouahed Univ Paris Saclay Univ Paris Sud CNRS SATIEUMR 8029Digiteo LabsBAT 660 F-91405 Orsay France ENSA LISTI Lab Agadir Morocco ENSA Lab Elect Engn & Syst Control Marrakech Morocco
Development of Simultaneous Localization and Mapping (slam) systems in the era of autonomous navigation and the growing demand for autonomous robots have put into question how to reduce the computational complexity an... 详细信息
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Understanding Why slam algorithms Fail in Modern Indoor Environments  32nd
Understanding Why SLAM Algorithms Fail in Modern Indoor Envi...
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31st International Conference on Robotics in Alpe-Adria-Danube Region (RAAD)
作者: Nwankwo, Linus Rueckert, Elmar Montanuniv Chair Cyber Phys Syst Leoben Austria
Simultaneous localization and mapping (slam) algorithms are essential for the autonomous navigation of mobile robots. With the increasing demand for autonomous systems, it is crucial to evaluate and compare the perfor... 详细信息
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Self and Target Locating With Cooperation of Heterogeneous Unmanned Vehicles in the Denial Environment
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IEEE ACCESS 2025年 13卷 64699-64718页
作者: Amjad, Muhammad Ali, Md Sahin Yao, Shouwen Rahaman, Md Faishal Zheng, Changsong Kazim, Raza Muhammad Zouaoui, Bilal Beijing Inst Technol Sch Mech Engn Beijing 100081 Peoples R China Yangzhou Univ Sch Mech Engn Yangzhou 225127 Jiangsu Peoples R China Beijing Inst Technol Sch Comp Sci & Technol Beijing 100081 Peoples R China
The growing reliance on unmanned vehicles, such as drones and autonomous vehicles, has revolutionized both military and civilian applications, particularly in challenging environments where traditional reconnaissance ... 详细信息
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Sparse extended information filters: Insights into sparsification
Sparse extended information filters: Insights into sparsific...
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IEEE/RSJ International Conference on Intelligent Robots and Systems
作者: Eustice, R Walter, M Leonard, J Woods Hole Oceanog Inst Dept Appl Ocean Phys & Engn Woods Hole MA 02543 USA
Recently, there have been a number of variant Simultaneous Localization and Mapping (slam) algorithms that have made substantial progress towards large-area scalability by parameterizing the slam posterior within the ... 详细信息
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Extended occupation grids for non-rigid moving objects tracking
Extended occupation grids for non-rigid moving objects track...
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14th International IEEE Conference on Intelligent Transportation Systems (ITSC)
作者: Lefaudeux, Benjamin Gate, Gwennael Nashashibi, Fawzi IMARA - INRIA Rocquencourt France Aldebaran Robotics France CAOR - Mines Paristech. France
We present an evolution of traditional occupancy grid algorithm, based on an extensive probabilistic calculus of the evolution of several variables on a cell neighbourhood. Occupancy, speed and classification are take... 详细信息
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Fast Artificial Landmark Detection for Indoor Mobile Robots
Fast Artificial Landmark Detection for Indoor Mobile Robots
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3rd International Conference on Innovative Network Systems and Applications (iNetSApp) held in conjunction with Federated Conference on Computer Science and Information Systems (FedCSIS)
作者: Kartashov, Dmitriy Huletski, Arthur Krinkin, Kirill Acad Univ St Petersburg Russia St Petersburg State Electrotech Univ LETI St Petersburg Russia
Nowadays the big challenge in simultaneous localization and mapping (slam) of mobile robots is the creation of efficient and robust algorithms. Significant Number of slam algorithms rely on unique features or or use a... 详细信息
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Localization and Mapping algorithms Implemented on a Low-Power Embedded Architectures: A Case Study  5
Localization and Mapping Algorithms Implemented on a Low-Pow...
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5th International Conference on Multimedia Computing and Systems (ICMCS)
作者: Abouzahir, Mohamed Latif, Rachid Tajer, Abdelouahed Elouardi, Abdelhafid Bouaziz, Samir ENSA ESSI Agadir Morocco ENSA Marrakech Morocco Paris Saclay Univ Univ Paris Sud SATIE Digiteo LabsCNRSUMR 8029 BAT 660 F-91405 Orsay France
In this paper we evaluate the promise held by low-power embedded architectures to implement slam (Simultaneous Localization and Mapping) algorithms. We map and implement 4 slam algorithms, that find utility in very di... 详细信息
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Transferable Belief Models for Lightweight Simultaneous Localization and Mapping
Transferable Belief Models for Lightweight Simultaneous Loca...
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9th Mediterranean Conference on Embedded Computing (MECO)
作者: Krinkin, Kirin St Petersburg State Electrotech Univ LETI Dept Software Engn & Comp Applicat St Petersburg Russia
Truly autonomous mobile robots have to solve the slam problem (i.e. simultaneous map building and pose estimation) in order to navigate in an unknown environment. This is a core problem to solve in order to reach real... 详细信息
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slam;definition and evolution
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2021年 97卷 104032-104032页
作者: Taheri, Hamid Xia, Zhao Chun Nanjing Univ Sci & Technol Comp Sci & Engn Dept Nanjing Peoples R China
Simultaneous Localization and Mapping (slam) is a key problem in the field of Artificial Intelligence and mobile robotics that addresses the problem of localization and mapping when a prior map of the workspace is not... 详细信息
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