Results 11 to 20 of about 3,988 (156)
A Robust Approach for a Filter-Based Monocular Simultaneous Localization and Mapping (SLAM) System [PDF]
Sensors, 2013 Rodrigo Munguia +2 more
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The Simultaneous Localization and Mapping (SLAM)-An Overview
Journal of Applied Science and Technology Trends, 2021 Positioning is a need for many applications related to mapping and navigation either in civilian or military domains. The significant developments in satellite-based techniques, sensors, telecommunications, computer hardware and software, image processing, etc.
Bashar Alsadik, Samer Karam
openaire +2 more sources
An improved EKF-SLAM automatic dropping cloth vehicle positioning algorithm
Xi'an Gongcheng Daxue xuebao, 2022 In order to improve the positioning accuracy of the automatic dropping cloth vehicle, the problem of increasing error and decreasing positioning accuracy in the strongly nonlinear system is solved by the extended Kalman filter simultaneous localization ...
SHEN Danfeng +4 more
doaj +1 more source
A Visual SLAM Algorithm for Motion Redetection Combined with Deep Learning [PDF]
Jisuanji gongcheng, 2022 In real scenes, the traditional visual Simultaneous Localization and Mapping(SLAM) algorithm is limited by the assumption of a static environment.Because of the influence of moving objects, the traditional visual odometer makes many mismatches ...
FANG Lijin, WANG Keqi
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Tracking and Registration Algorithm of Augmented Reality on Unknown Scene Based on IEKF-SLAM [PDF]
Jisuanji gongcheng, 2016 iming at the problem that nonlinear estimation results of Extended Kalman Filter-based Simultaneous Localization and Mapping(EKF-SLAM) algorithm are inconsistent,this paper proposes an Improved Extended Kalman Filter-based Simultaneous Localization and ...
ZHAO Yue,LI Jingjiao,WANG Aixia,YANG Dan
doaj +1 more source
Progress and Applications of Visual SLAM [PDF]
Journal of Geodesy and Geoinformation Science, 2019 Visual simultaneous localization and mapping (SLAM) provides mapping and self-localization results for a robot in an unknown environment based on visual sensors, that have the advantages of small volume, low power consumption, and richness of information
Kaichang DI,Wenhui WAN,Hongying ZHAO,Zhaoqin LIU,Runzhi WANG,Feizhou ZHANG
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LiDAR-Based Sensor Fusion SLAM and Localization for Autonomous Driving Vehicles in Complex Scenarios
Journal of Imaging, 2023 LiDAR-based simultaneous localization and mapping (SLAM) and online localization methods are widely used in autonomous driving, and are key parts of intelligent vehicles.
Kai Dai +6 more
doaj +1 more source
Sensors, 2022 In dynamic indoor environments and for a Visual Simultaneous Localization and Mapping (vSLAM) system to operate, moving objects should be considered because they could affect the system’s visual odometer stability and its position estimation accuracy ...
Charalambos Theodorou +2 more
doaj +1 more source
New framework for Simultaneous Localization and Mapping: Multi map SLAM [PDF]
2008 IEEE International Conference on Robotics and Automation, 2008 The main contribution of this paper arises from the development of a new framework, which has its inspiration in the mechanics of human navigation, for solving the problem of Simultaneous Localization and Mapping (SLAM). The proposed framework has specific relevance to vision based SLAM, in particular, small baseline stereo vision based SLAM and ...
Damith Chandana Herath +2 more
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SLAM Systems: Overview of Algorithms and Applications [PDF]
Biuletyn Wojskowej Akademii TechnicznejSimultaneous Localization and Mapping (SLAM) represents a key technology enabling autonomous navigation and precise mappingof environments, whether they are unknown or lack GNSS signals.
Adrian Mikołaj Kapski
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