Results 31 to 40 of about 20,695 (309)
Swarm-SLAM: Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot Systems [PDF]
IEEE Robotics and Automation Letters, 2023 Collaborative Simultaneous Localization And Mapping (C-SLAM) is a vital component for successful multi-robot operations in environments without an external positioning system, such as indoors, underground or underwater.
Pierre-Yves Lajoie, G. Beltrame
semanticscholar +1 more source
Remote Sensing, 2020 The use of new and modern sensors in forest inventory has become increasingly efficient. Nevertheless, the majority of forest inventory data are still collected manually, as part of field surveys.
Christoph Gollob +2 more
semanticscholar +1 more source
Sensors, 2022 In dynamic indoor environments and for a Visual Simultaneous Localization and Mapping (vSLAM) system to operate, moving objects should be considered because they could affect the system’s visual odometer stability and its position estimation accuracy ...
Charalambos Theodorou +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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Simultaneous localization and map-building using active vision [PDF]
, 2002 An active approach to sensing can provide the focused measurement capability over a wide field of view which allows correctly formulated Simultaneous Localization and Map-Building (SLAM) to be implemented with vision, permitting repeatable long-term ...
D.W. Murray +5 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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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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Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning [PDF]
International Symposium of Robotics Research, 2022 Robots operating in the open world encounter various different environments that can substantially differ from each other. This domain gap also poses a challenge for Simultaneous Localization and Mapping (SLAM) being one of the fundamental tasks for ...
Niclas Vodisch +3 more
semanticscholar +1 more source
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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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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