Results 21 to 30 of about 12,075 (277)
New framework for Simultaneous Localization and Mapping: Multi map SLAM [PDF]
2008 IEEE International Conference on Robotics and Automation, 2008 The main contribution of this paper arises from the development of a new framework, which has its inspiration in the mechanics of human navigation, for solving the problem of Simultaneous Localization and Mapping (SLAM). The proposed framework has specific relevance to vision based SLAM, in particular, small baseline stereo vision based SLAM and ...
Damith Chandana Herath +2 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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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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SIMULTANEOUS LOCALIZATION AND MAPPING TRENDS AND HUMANOID ROBOT LINKAGES
Asia-Pacific Journal of Information Technology and Multimedia, 2013 Simultaneous localization and mapping (SLAM), also known as concurrent mapping and localization (CML), is an important topic or robotics files. This method produces a real-time map of an environment and finds the current position of a robot on that map ...
Farshid Pirahansiah +2 more
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A robust approach for a filter-based monocular simultaneous localization and mapping (SLAM) system. [PDF]
Sensors (Basel), 2013 Munguía R, Castillo-Toledo B, Grau A.
europepmc +2 more sources
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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Real-Time Direct Monocular SLAM With Learning-Based Confidence Estimation
IEEE Access, 2019 Direct monocular simultaneous localization and mapping (SLAM) methods, for which the image intensity is used for tracking and mapping instead of sparse feature points, have gained in popularity in recent years. However, feature-based methods usually have
Weiqi Zhang +4 more
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An Overview of Key SLAM Technologies for Underwater Scenes
Remote Sensing, 2023 Autonomous localization and navigation, as an essential research area in robotics, has a broad scope of applications in various scenarios. To widen the utilization environment and augment domain expertise, simultaneous localization and mapping (SLAM) in ...
Xiaotian Wang +4 more
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Generative Simultaneous Localization and Mapping (G-SLAM)
CoRR, 2016 Environment perception is a crucial ability for robot's interaction into an environment. One of the first steps in this direction is the combined problem of simultaneous localization and mapping (SLAM). A new method, called G-SLAM, is proposed, where the map is considered as a set of scattered points in the continuous space followed by a probability ...
Nikos Zikos, Vassilios Petridis
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Performance improvement in VSLAM using stabilized feature points [PDF]
, 2013 Simultaneous localization and mapping (SLAM) is the main prerequisite for the autonomy of a mobile robot. In this paper, we present a novel method that enhances the consistency of the map using stabilized corner features.
Şahin, Caner +3 more
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