Abstract: Accurate segmentation of 3D point clouds in indoor scenes remains a challenging task, often hindered by the labor-intensive nature of data annotation. While weakly supervised learning ...
Abstract: In this paper, we propose the PLS-FUSION, where P stands for point features, L for line features, and S for stereo vision. Together, these components form a tightly-coupled stereo ...
Abstract: The geometric regularity of man-made structures imposes distinct constraints on visual-inertial simultaneous localization and mapping (VI-SLAM) systems. To effectively leverage this ...
A recreation of the classic Visual Basic 6 IDE and language in C# using Avalonia. This is a fun, toy project with no commercial intent. All rights to the Visual Basic name, icons, and graphics belong ...
Abstract: Mobile robots rely on Visual Simultaneous Localization and Mapping (SLAM) as their primary technology. However, in environments with dynamic lighting changes, current state-of-the-art visual ...
Abstract: The visual sensing system is one of the most important parts of the welding robots to realize intelligent and autonomous welding. The active visual sensing methods have been widely adopted ...
Abstract: Visual-inertial odometry (VIO) utilizing point and line features has become prevalent for state estimation in structured environments. The robustness of line segment detection and the ...
STEVENS POINT, Wis. – The Stevens Point Plan Commission and Historic Preservation Commission reviewed a proposed $15 million city hall complex on Ellis Street on Monday night. According to our ...
Abstract: For robots operating in the GPS-denied environment, visual inertial simultaneous localization and mapping (VI-SLAM) is a popular solution for localization. However, under challenging ...
Feet can be challenging, but the right fundamentals make them much easier to draw. These three essential tutorials break down foot structure, proportions, balance, and perspective, helping artists ...
Abstract: This article proposes a monocular point-line visual-inertial odometry (VIO) with line filtering and fast line matching (FLM PL-VIO), improving the localization accuracy and robustness.
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