Results 11 to 20 of about 9,269 (274)
Map point selection for visual SLAM [PDF]
Robotics and Autonomous Systems, 2023 Simultaneous localisation and mapping (SLAM) play a vital role in autonomous robotics. Robotic platforms are often resource-constrained, and this limitation motivates resource-efficient SLAM implementations. While sparse visual SLAM algorithms offer good accuracy for modest hardware requirements, even these more scalable sparse approaches face ...
Christiaan J. Müller +1 more
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DVI-SLAM: A Dual Visual Inertial SLAM Network [PDF]
2024 IEEE International Conference on Robotics and Automation (ICRA)Accepted to ...
Xiongfeng Peng +5 more
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Recent work in visual SLAM has shown the effectiveness of using deep network backbones. Despite excellent accuracy, however, such approaches are often expensive to run or do not generalize well zero-shot. Their runtime can also fluctuate wildly while their frontend and backend fight for access to GPU resources.
Lahav Lipson +2 more
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ObVi-SLAM: Long-Term Object-Visual SLAM [PDF]
IEEE Robotics and Automation Letters, 2023 Robots responsible for tasks over long time scales must be able to localize consistently and scalably amid geometric, viewpoint, and appearance changes. Existing visual SLAM approaches rely on low-level feature descriptors that are not robust to such environmental changes and result in large map sizes that scale poorly over long-term deployments.
Amanda Adkins +2 more
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Progress and Applications of Visual SLAM [PDF]
Journal of Geodesy and Geoinformation Science, 2019 Visual simultaneous localization and mapping (SLAM) provides mapping and self-localization results for a robot in an unknown environment based on visual sensors, that have the advantages of small volume, low power consumption, and richness of information
Kaichang DI,Wenhui WAN,Hongying ZHAO,Zhaoqin LIU,Runzhi WANG,Feizhou ZHANG
doaj +1 more source
Sensors, 2022 Simultaneous Localisation and Mapping (SLAM) is one of the fundamental problems in autonomous mobile robots where a robot needs to reconstruct a previously unseen environment while simultaneously localising itself with respect to the map.
Tin Lai
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CVI-SLAM—Collaborative Visual-Inertial SLAM [PDF]
IEEE Robotics and Automation Letters, 2018 ISSN:2377 ...
Marco Karrer +2 more
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An improved SLAM based on RK-VIF: Vision and inertial information fusion via Runge-Kutta method
Defence Technology, 2023 Simultaneous Localization and Mapping (SLAM) is the foundation of autonomous navigation for unmanned systems. The existing SLAM solutions are mainly divided into the visual SLAM(vSLAM) equipped with camera and the lidar SLAM equipped with lidar. However,
Jia-shan Cui +5 more
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Visual SLAM for Flying Vehicles [PDF]
IEEE Transactions on Robotics, 2008 The ability to learn a map of the environment is important for numerous types of robotic vehicles. In this paper, we address the problem of learning a visual map of the ground using flying vehicles. We assume that the vehicles are equipped with one or two low-cost downlooking cameras in combination with an attitude sensor.
Bastian Steder +3 more
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Dynamic visual SLAM and MEC technologies for B5G: a comprehensive review
EURASIP Journal on Wireless Communications and Networking, 2022 In recent years, dynamic visual SLAM techniques have been widely used in autonomous navigation, augmented reality, and virtual reality. However, the increasing demand for computational resources by SLAM techniques limits its application on resource ...
Jiansheng Peng +3 more
doaj +1 more source