Results 1 to 10 of about 12,075 (277)
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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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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Evaluating the Impact of Extended Kalman Filter Odometry on the Performance of 2D LiDAR SLAM Algorithms [PDF]
SensorsAccurate localization and mapping are essential for autonomous mobile robots operating in unknown environments. This study investigates the impact of Extended Kalman Filter (EKF)-based sensor fusion on the performance of three widely used two-dimensional
Christian Merrick, Vidya K. Nandikolla
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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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Sensor Technologies and Simultaneous Localization and Mapping (SLAM)
Procedia Computer Science, 2015 AbstractThis paper presents a comprehensive review on sensor modalities currently in used for solving the Simultaneous Localization and Mapping (SLAM) problem. The review focuses on SLAM for mobile robots in a variety of environments. The strengths and weaknesses of acoustic modality sensors such as ultrasonic and sonar sensors, laser range finders ...
Chong, T.J. +5 more
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P-SLAM: Simultaneous Localization and Mapping With Environmental-Structure Prediction [PDF]
IEEE Transactions on Robotics, 2007 Traditionally, simultaneous localization and mapping (SLAM) algorithms solve the localization and mapping problem in explored regions. This paper presents a prediction-based SLAM algorithm (called P-SLAM), which has an environmental-structure predictor to predict the structure inside an unexplored region (i.e., look-ahead mapping).
Y Charlie Hu, Yung-Hsiang Lu
exaly +3 more sources
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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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
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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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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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