Simultaneous localization and mapping (SLAM)-based robot localization and navigation algorithm
Applied Water ScienceThis research paper presents a comprehensive study of the simultaneous localization and mapping (SLAM) algorithm for robot localization and navigation in unknown environments.
Junfu Qiao, Jinqin Guo, Yongwei Li
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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
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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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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. The traditional static surveying and mapping methods can’t meet the requirements for accuracy, efficiency and productivity in a complicated indoor environment ...
Chen Y +12 more
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Acoustic simultaneous localization and mapping (A-SLAM) of a moving microphone array and its surrounding speakers [PDF]
, 2016 Acoustic scene mapping creates a representation of positions of audio sources such as talkers within the surrounding environment of a microphone array.
Evers, C, Moore, AH, Naylor, PA
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Fusing sonars and LRF data to perform SLAM in reduced visibility scenarios [PDF]
, 2014 Simultaneous Localization and Mapping (SLAM) approaches have evolved considerably in recent years. However, there are many situations which are not easily handled, such as the case of smoky, dusty, or foggy environments where commonly used range sensors ...
Couceiro, Micael S. +3 more
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HECTORSLAM 2D MAPPING FOR SIMULTANEOUS LOCALIZATION AND MAPPING (SLAM)
Journal of Physics: Conference Series, 2020 Abstract This paper presents an application of LiDAR sensor for 2D mapping construction in an unkwown environments and capability to localize its own location based on landmark detected. Previously, there are various research actively conducted by others researchers for SLAM application.
Shahrizal Saat +3 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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OC-SLAM: Steadily Tracking and Mapping in Dynamic Environments
Frontiers in Energy Research, 2021 Visual Simultaneous Localization and Mapping (SLAM) system is mainly used in real-time localization and mapping tasks of robots in various complex environments, while traditional monocular vision algorithms are struggling to cope with weak texture and ...
Zhenyu Wu +3 more
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RadarSLAM: Radar based Large-Scale SLAM in All Weathers
, 2020 Numerous Simultaneous Localization and Mapping (SLAM) algorithms have been presented in last decade using different sensor modalities. However, robust SLAM in extreme weather conditions is still an open research problem.
Hong, Ziyang, Petillot, Yvan, Wang, Sen
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