IEEE

Point Cloud Models Improve Visual Robustness in Robotic Learners

Abstract: Visual control policies can encounter significant performance degradation when visual conditions like lighting or camera position differ from those seen during training – often exhibiting ...
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

3DVG-Transformer: Relation Modeling for Visual Grounding on Point Clouds

Abstract: Visual grounding on 3D point clouds is an emerging vision and language task that benefits various applications in understanding the 3D visual world. By formulating this task as a ...
IEEE

A Fast and Accurate Visual Inertial Odometry Using Hybrid Point-Line Features

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.
IEEE

PLE-SLAM: A Visual-Inertial SLAM Based on Point-Line Features and Efficient IMU Initialization

Abstract: Camera and IMU are widely used in robotics to achieve accurate and robust pose estimation. However, this fusion relies heavily on sufficient visual feature observations and precise inertial ...
IEEE

Visual-Inertial Simultaneous Localization and Mapping: Dynamically Fused Point-Line Feature Extraction and Engineered Robotic Applications

Abstract: For robots in unknown environments, the visual-inertial simultaneous localization and mapping (SLAM) incorporates the multisensor data and enables a globally consistent trajectory tracking ...
IEEE

DV-Matcher: Deformation-based Non-Rigid Point Cloud Matching Guided by Pre-trained Visual Features

Abstract: In this paper, we present DV-Matcher, a novel learning-based framework for estimating dense correspondences between non-rigidly deformable point clouds. Learning directly from unstructured ...
IEEE

Research on visual SLAM algorithm based on improved point-line feature fusion

Abstract: SLAM (simultaneous localization and mapping), will further known as synchronous localization and mapping, is a technology that is used to tackle the issue of localization and map building ...
IEEE

Sparse Visual Semantic Point Cloud-Based Relocalization Method for Intelligent Vehicles

Abstract: Localization of intelligent vehicles often depends on a combination of RTK-GNSS/IMU (Real-Time Kinematic-Global Navigation Satellite System/Inertial Measurement Unit) and high-definition ...
IEEE

Forestry Crane Automation using Learning-based Visual Grasping Point Prediction

Abstract: This paper presents an approach to automate the log-grasping of a forestry crane. A common hydraulic actuated log-crane is converted into a robotic device by retrofitting it with various ...
IEEE

Dynamic feature point detection for visual servoing using multiresolution critical-point filters

Abstract: In this paper we examine the selection of feature points for visual servoing methods using multiresolution critical-point filters (CPF). With the increased number of feature points made ...
IEEE

Semantic-Aware Visual Decomposition for Point Cloud Geometry Compression

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 ...