Simultaneous localization and mapping (SLAM)-based robot localization and navigation algorithm
This research paper presents a comprehensive study of the simultaneous localization and mapping (SLAM) algorithm for robot localization and navigation in unknown environments.
Junfu Qiao, Jinqin Guo, Yongwei Li
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Evaluation of Simultaneous Localization and Mapping (SLAM) Algorithms
Simultaneous Localization and Mapping (SLAM) is a core component for the successful implementation of most autonomous robotics systems such as unmanned ground and areal vehicles and industrial mobile robots. It is crucial to have a robust localization and mapping system if the robot’s navigation depends on it while navigating through an unknown ...
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Scale Estimation and Correction of the Monocular Simultaneous Localization and Mapping (SLAM) Based on Fusion of 1D Laser Range Finder and Vision Data. [PDF]
Zhang Z, Zhao R, Liu E, Yan K, Ma Y.
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DOT-SLAM: A Stereo Visual Simultaneous Localization and Mapping (SLAM) System with Dynamic Object Tracking Based on Graph Optimization. [PDF]
Zhu Y, An H, Wang H, Xu R, Sun Z, Lu K.
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RU-SLAM: A Robust Deep-Learning Visual Simultaneous Localization and Mapping (SLAM) System for Weakly Textured Underwater Environments. [PDF]
Wang Z, Cheng Q, Mu X.
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A Multi-Sensorial Simultaneous Localization and Mapping (SLAM) System for Low-Cost Micro Aerial Vehicles in GPS-Denied Environments. [PDF]
López E +7 more
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Performance analysis of the Microsoft Kinect sensor for 2D Simultaneous Localization and Mapping (SLAM) techniques. [PDF]
Kamarudin K +3 more
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Comparing EKF and SPKF Algorithms for Simultaneous Localization and Mapping (SLAM) [PDF]
Javad Zolghadr +2 more
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DB-LIO: Database-Driven LiDAR-Inertial Odometry for Memory-Bounded Persistent Mapping. [PDF]
Kim HH, Kang HH, Noh DH, Lee HM.
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SLAM(Simultaneous Localization And Mapping)
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