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: 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: 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 ...

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 ...

Unified segmentation of 3D point clouds is crucial for scene understanding, but is hindered by its sparse structure, limited annotations, and the challenge of distinguishing fine-grained object ...

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: 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: Visual grounding on 3D point clouds is an emerging vision and language task that benefits various applications in understanding the 3D visual world. By formulating this task as a ...

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: 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.

Abstract: Localization is an essential capability for mobile robots, enabling them to build a comprehensive representation of their environment and interact with the environment effectively toward a ...