In autonomous driving, robotics, and augmented reality, accurate localization remains one of the most challenging problems. Traditional ...

Abstract: Visual inertial odometry (VIO) is a popular solution for localization in the GPS-denied environment. However, current VIO algorithms' performance degrades in the visual degraded environment ...

Abstract: Making multi-camera visual SLAM systems easier to set up and more robust to the environment is attractive for vision robots. Existing monocular and binocular vision SLAM systems have narrow ...

Introduction: Visual odometry (VO) has been widely deployed on mobile robots for spatial perception. State-of-the-art VO offers robust localization, the maps it generates are often too sparse for ...

At the ongoing VSLive! developer conference in San Diego, Microsoft today announced Visual Studio 2026 Insiders, a new release of its flagship IDE that pairs deep AI integration with stronger ...

RGBD-3DGS-SLAM is a sophisticated SLAM system that employs 3D Gaussian Splatting (3DGS) from Guassian Splatting SLAM (MonoGS) for precise point cloud and visual odometry estimations. It leverages ...

With a focus on everything from AI-powered development to .NET MAUI, Microsoft hosted developers from around the world at its Redmond headquarters for the latest edition of the Visual Studio Live!

I'm experiencing an issue with RTAB-Map's visual odometry using an Intel RealSense D435i camera on ROS 2 Humble. When the system is stationary, the visual odometry output exhibits lateral oscillations ...

Introduction: Motion blur, primarily caused by rapid camera movements, significantly challenges the robustness of feature point tracking in visual odometry (VO). Methods: This paper introduces a ...