Visual imitation learning: Guidde trains AI agents on human 'expert video' instead of documentation

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

All in One: Visual-Description-Guided Unified Point Cloud Segmentation

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 ...
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

PLPL-VIO: A Novel Probabilistic Line Measurement Model for Point-Line-Based Visual-Inertial Odometry

Abstract: Point and line features are complementary in Visual-Inertial Odometry (VIO) or Visual-Inertial Simultaneous Localization And Mapping (VI-SLAM) systems. The advantage of combining these two ...
IEEE

A Visual and Automated Calculation Method for Hazardous Areas of Live-Line Work Based on Point Cloud

Abstract: Traditional live-line work often relies on experience and manual labor. At present, the safety assessment of live-line work scenes adopts unified standards; however, due to the complexity of ...
IEEE

Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization

Abstract: Visual localization refers to the process of recovering camera pose from input image relative to a known scene, forming a cornerstone of numerous vision and robotics systems. While many ...
IEEE

Cross-Modal LiDAR-Visual-Inertial Localization in Prebuilt LiDAR Point Cloud Map Through Direct Projection

Abstract: This article proposes the light detection and ranging (LiDAR) map LiDAR-visual-inertial localization (LM-LVIL) system, integrating LiDAR, visual, and inertial sensors within a preconstructed ...
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

Toward Visual Interaction: Hand Segmentation by Combining 3-D Graph Deep Learning and Laser Point Cloud for Intelligent Rehabilitation

Abstract: Against the backdrop of the increasing trend of aging population in China and even globally, the demand for hand function rehabilitation is growing day by day, and human-machine interaction ...
IEEE

A Static Feature Point Extraction Algorithm for Visual-Inertial SLAM

Abstract: Aiming at the fact that most simultaneous localization and mapping (SLAM) methods are fragile in dynamic environment, a static feature point extraction algorithm for visual-inertial SLAM is ...
IEEE

Stereo Tracking and Three-Point/One-Point Algorithms - A Robust Approach in Visual Odometry

Abstract: In this paper, we present an approach of calculating visual odometry for outdoor robots equipped with a stereo rig. Instead of the typical feature matching or tracking, we use an improved ...