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 ...
This paper presents a new monocular visual-inertial odometry (VIO) system designed to achieve precise and robust localization for autonomous vehicles in challenging agricultural environments, where ...
Abstract: Visual simultaneous localization and mapping (VSLAM) is a foundational technology in robotics, providing an optimal balance of cost and accuracy. However, existing systems often lack ...
Abstract: Accurate localization constitutes a fundamental building block of any autonomous system. In this article, we focus on stereo cameras and present a novel approach, dubbed SOFT2, that is ...
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 ...
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.
We break down the 12 technical and psychological logo design basics that actually matter for SMBs in 2026. Forget "pretty"; focus on brand equity, technical scalability, and semantic visibility. I ...
MANILA, Philippines — The Department of Education (DepEd) will allocate P9 billion for the implementation of the Academic Recovery and Accessible Learning (ARAL) Program in all public basic education ...
Abstract: In this letter, we introduce HPGS-SLAM, a real-time RGB-D SLAM system guided by hybrid point features (combining traditional and learned point features), enabling high-precision tracking and ...
Abstract: Mainstream visual-inertial SLAM systems use point features for motion estimation and localization. However, point features do not perform well in scenes such as weak texture and motion blur.
Abstract: This paper presents a Task-Free eye-tracking dataset for Dynamic Point Clouds (TF-DPC) aimed at investigating visual attention. The dataset is composed of eye gaze and head movements ...
Abstract: The widespread adoption of Transformers in deep learning, serving as the core framework for numerous large-scale language models, has sparked significant interest in understanding their ...