Abstract: Teaching programming is a topic that has generated a high level of interest among researchers in recent decades. In particular, multiple approaches to teaching visual programming have been ...
Abstract: Focusing on encoding the Region of Interest (ROI) in point clouds and allocating more bitstream is a crucial area of research. In processing point cloud data, the foreground ROI region ...
6d
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.
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 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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Abstract: Answering questions about 3D environments is a frontier challenge in AI, demanding a nuanced grasp of spatial reasoning that distinguishes it from 2D VQA. The dominant paradigm for this task ...
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