Abstract: Simultaneous localization and mapping (SLAM) is widely used in various fields, such as unmanned driving, robotics, and VR. The SLAM system with multiple landmarks is also a research hotspot ...
Abstract: Line features provide more structural information than point features, particularly in low-texture, man-made environments. In this paper, we present PL-LVI, a monocular LiDAR-visual-inertial ...
Abstract: This paper addresses vision based autonomous vine pruning with robots. The complex structure of vines makes visual servoing difficult due to challenges in feature extraction and 3D pose ...
Abstract: Teaching programming is a topic that has generated a high level of interest among researchers in recent decades. In particular, multiple approaches to teaching visual programming have been ...
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: Focusing on encoding the Region of Interest (ROI) in point clouds and allocating more bitstream is a crucial area of research. In processing point cloud data, the foreground ROI region ...
Abstract: We introduce a novel lidar-monocular visual odometry approach using point and line features. Compared to previous point-only based lidar-visual odometry, our approach leverages more ...
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: Visual-inertial odometry (VIO) is widely used in autonomous driving, robots, and drones in global navigation satellite system (GNSS)-denied environments. Current VIO methods primarily rely ...
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 ...
A Visual and Automated Calculation Method for Hazardous Areas of Live-Line Work Based on Point Cloud
Abstract: Traditional live-line work often relies on experience and manual labor. At present, the safety assessment of live-line work scenes adopts unified standards; however, due to the complexity of ...
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