Guidde already claims 4,500 enterprise customers and seeks to expand this number with its new round of funding.

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 ...

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 ...

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 ...

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: 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: With monocular Visual-Inertial Odometry (VIO) system, 3D point cloud and camera motion can be estimated simultaneously. Because pure sparse 3D points provide a structureless representation ...