Results 1 to 10 of about 24,069 (274)
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
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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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Visual SLAM algorithms and their application for AR, mapping, localization and wayfinding
Array, 2022 Visual simultaneous localization and mapping (vSLAM) algorithms use device camera to estimate agent's position and reconstruct structures in an unknown environment.
Charalambos Theodorou +3 more
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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
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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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Drones, 2022 This article presents a survey of simultaneous localization and mapping (SLAM) and data fusion techniques for object detection and environmental scene perception in unmanned aerial vehicles (UAVs). We critically evaluate some current SLAM implementations
Abhishek Gupta, Xavier Fernando
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Autonomous mobile robot with ORB-SLAM 2 [PDF]
, 2021 In this thesis we introduced ORB-SLAM2. It is critical for a mobile robot to be able to identify revisited locations or loop closures while conducting Simultaneous Localization and Mapping (SLAM) in order to be successful during autonomous navigation ...
Salah Eddine, Benahmed
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Simultaneous Localization and Mapping (SLAM) for Autonomous Driving: Concept and Analysis
Remote Sensing, 2023 The Simultaneous Localization and Mapping (SLAM) technique has achieved astonishing progress over the last few decades and has generated considerable interest in the autonomous driving community.
Shuran Zheng +4 more
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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
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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