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
doaj +6 more sources
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
exaly +4 more sources
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
doaj +4 more sources
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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The Accuracy Comparison of Three Simultaneous Localization and Mapping (SLAM)-Based Indoor Mapping Technologies. [PDF]
Sensors (Basel), 2018 The growing interest and the market for indoor Location Based Service (LBS) have been drivers for a huge demand for building data and reconstructing and updating of indoor maps in recent years.
Chen Y +12 more
europepmc +2 more sources
Scale Estimation and Correction of the Monocular Simultaneous Localization and Mapping (SLAM) Based on Fusion of 1D Laser Range Finder and Vision Data. [PDF]
Sensors (Basel), 2018 This article presents a new sensor fusion method for visual simultaneous localization and mapping (SLAM) through integration of a monocular camera and a 1D-laser range finder. Such as a fusion method provides the scale estimation and drift correction and
Zhang Z, Zhao R, Liu E, Yan K, Ma Y.
europepmc +2 more sources
A Multi-Sensorial Simultaneous Localization and Mapping (SLAM) System for Low-Cost Micro Aerial Vehicles in GPS-Denied Environments. [PDF]
Sensors (Basel), 2017 One of the main challenges of aerial robots navigation in indoor or GPS-denied environments is position estimation using only the available onboard sensors.
López E +7 more
europepmc +2 more sources
Feasibility of Tracking Human Kinematics with Simultaneous Localization and Mapping (SLAM). [PDF]
Sensors (Basel), 2022 We evaluated a new wearable technology that fuses inertial sensors and cameras for tracking human kinematics. These devices use on-board simultaneous localization and mapping (SLAM) algorithms to localize the camera within the environment. Significance of this technology is in its potential to overcome many of the limitations of the other dominant ...
Laal S +4 more
europepmc +5 more sources
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
doaj +3 more sources
Performance analysis of the Microsoft Kinect sensor for 2D Simultaneous Localization and Mapping (SLAM) techniques. [PDF]
Sensors (Basel), 2014 This paper presents a performance analysis of two open-source, laser scanner-based Simultaneous Localization and Mapping (SLAM) techniques (i.e., Gmapping and Hector SLAM) using a Microsoft Kinect to replace the laser sensor.
Kamarudin K +3 more
europepmc +2 more sources