Results 11 to 20 of about 20,695 (309)
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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D-SLAM: A Decoupled Solution to Simultaneous Localization and Mapping [PDF]
The International Journal of Robotics Research, 2007 The main contribution of this paper is the reformulation of the simultaneous localization and mapping (SLAM) problem for mobile robots such that the mapping and localization can be treated as two concurrent yet separated processes: D-SLAM (decoupled SLAM).
Zhan Wang +2 more
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Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age [PDF]
IEEE Transactions on Robotics, 2016 Simultaneous localization and mapping (SLAM) consists in the concurrent construction of a model of the environment (the map), and the estimation of the state of the robot moving within it. The SLAM community has made astonishing progress over the last 30
Cesar Cadena +2 more
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Radio SLAM: A Review on Radio-Based Simultaneous Localization and Mapping
IEEE Access, 2023 Simultaneous localization and mapping (SLAM) algorithm has enabled the automation of mobile robots in unknown environments. It enables the robot to navigate through an unknown trajectory by employing sensors that provide measurements to infer the ...
Qasim Zeeshan Ahmed +2 more
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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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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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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).
Yung‐Hsiang Lu, Y Charlie Hu
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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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Sensors, 2012 This paper presents a sensor fusion strategy applied for Simultaneous Localization and Mapping (SLAM) in dynamic environments. The designed approach consists of two features: (i) the first one is a fusion module which synthesizes line segments obtained ...
Xinzheng Zhang +2 more
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Simultaneous Localization and Mapping (SLAM) for warehouse applications
International Journal of Science and Research ArchiveThe ravaging impacts of the COVID-19 pandemic on global supply chains and its exposures of the vulnerabilities of the This research paper describes the development and implementation of a practical SLAM model for warehouse application. SLAM technology allows autonomous systems to map unknown environments while estimating their own position.
null Anagha J. Choudhary +4 more
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