IEEE

A Real-Time Stereo Visual-Inertial SLAM System Based on Point-and-Line Features

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 ...
IEEE

PL-LVI: A LiDAR-Visual-Inertial SLAM System Integrating Visual Point-Line Features

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 ...
IEEE

Point Cloud Based Visual Planning and Servoing for Autonomous Vine Pruning

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 ...
IEEE

A Case Study on Learning Visual Programming With TutoApp for Composition of Tutorials: An Approach for Learning by Teaching

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 ...
GitHub

Avalonia Visual Basic 6

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 ...
IEEE

Lidar-Monocular Visual Odometry using Point and Line Features

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 ...
IEEE

Visual Boundary-Guided Pseudo-Labeling for Weakly Supervised 3D Point Cloud Segmentation in Indoor Environments

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 ...
IEEE

Fast Monocular Visual-Inertial Odometry With Point-Line Features and Vanishing Point Constraints

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 ...
IEEE

The Active Visual Sensing Methods for Robotic Welding: Review, Tutorial, and Prospect

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 ...
IEEE

Point–Line Visual–Inertial Odometry With Optimized Line Feature Processing

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 ...
WAOW

Stevens Point releases visual plans of proposed new city hall building

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 ...
IEEE

Visual Quality of Compressed Mesh and Point Cloud Sequences

Abstract: With the development of immersive video, the delivery and storage of 3D content have become important research areas. While compression methods for meshes and point clouds, the two main ...