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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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Stereo Gaussian Splatting with Adaptive Scene Depth Estimation for Semantic Mapping [PDF]
Journal of ImagingSimultaneous Localization and Mapping (SLAM) is a fundamental capability in robotics and augmented reality. However, achieving accurate geometric reconstruction and consistent semantic understanding in complex environments remains challenging.
Chenhui Fu, Jiangang Lu
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Mutual information-based hierarchical NBV decision for active semantic visual SLAM under dynamic environments [PDF]
Scientific ReportsActive Simultaneous Localization and Mapping (A-SLAM) technology enables a robot to autonomously plan its movements to build a comprehensive and accurate map of its surroundings.
Zhenyuan Yang +3 more
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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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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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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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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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