Abstract: To address the instability and failure of visual SLAM systems in illumination-varying or feature-deficient indoor environments, this paper proposes a multi-sensor fusion SLAM framework based ...

Abstract: Recent years have seen a notable improvement in the performance, precision, and effectiveness of Simultaneous-Localization-and-Mapping (SLAM) systems utilizing vision-based sensors. Visual ...

OpenVSLAM is based on an indirect SLAM algorithm with sparse features, such as ORB-SLAM, ProSLAM, and UcoSLAM. One of the noteworthy features of OpenVSLAM is that the system can deal with various type ...

Visual-SLAM is a special case of 'Simultaneous Localization and Mapping', which you use a camera device to gather exteroceptive sensory data. Below there is a set of topics you need to understand in ...

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Michael Schmidt, CFA, is a staff member of FINRA's Dispute Resolution Board with 20+ years of experience in the financial market. Doretha Clemons, Ph.D., MBA, PMP, has been a corporate IT executive ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

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Writer/director Chad Faust and star Lena Headey talk their new revenge thriller Ballistic and how the script was changed from ...