IEEE

Graph-Neural-Network-Based WiFi Indoor Localization System With Access Point Selection

Abstract: With the popularity of mobile devices and the increasing demand for indoor localization services, the localization of indoor mobile users is becoming more and more popular. However, many ...
IEEE

RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation

Abstract: Point clouds can be represented in many forms (views), typically, point-based sets, voxel-based cells or range-based images(i.e., panoramic view). The point-based view is geometrically ...
IEEE

A Dual Attention KPConv Network Combined With Attention Gates for Semantic Segmentation of ALS Point Clouds

Abstract: Kernel point convolution (KPConv) defines convolutional weights based on Euclidean distances between kernel points and input points and has shown good segmentation results on several ...
IEEE

MNAT-Net: Multi-Scale Neighborhood Aggregation Transformer Network for Point Cloud Classification and Segmentation

Abstract: Accurate understanding of 3D objects in complex scenes plays essential roles in the fields of intelligent transportation and autonomous driving technology. Recent deep neural networks have ...
IEEE

PN-Internet: Point-and-Normal Interactive Network for Noisy Point Clouds

Abstract: Point cloud denoising and normal estimation are two fundamental yet dependent problems in digital geometry processing. However, both are often independently researched, leading to ...
IEEE

DFAN: Dual-Branch Feature Alignment Network for Domain Adaptation on Point Clouds

Abstract: Unsupervised domain adaptation (UDA) significantly reduces the gap between the source domain and the target domain in machine learning and computer vision tasks. Most UDA approaches are ...
IEEE

Dense Point Cloud Completion Based on Generative Adversarial Network

Abstract: Point cloud completion aims to reconstruct complete point clouds from partial point clouds, which is widely used in various fields such as autonomous driving and robotics. Most existing ...
IEEE

MMCNet: Multi-Modal Point Cloud Completion Network Based on Self-Projected Views

Abstract: Obtaining defect-free point cloud data is challenging due to performance constraints of acquisition devices and unavoidable occlusion, making point cloud data completion critical. In recent ...
IEEE

MCTNet: Multiscale Cross-Attention-Based Transformer Network for Semantic Segmentation of Large-Scale Point Cloud

Abstract: In this work, we implement a hybrid method to utilize sufficient information by aggregating both fine-grained and globally contextual features for point cloud semantic segmentation with a ...
IEEE

Point to Point Virtual Private Network Scheme Based on 5G Communication Terminal

Abstract: Aiming at the long-distance trans-regional transmission of power data in the new power system, this paper first analyzes the suitability of 5G communication network and power business, then ...
IEEE

A 28nm 2D/3D Unified Sparse Convolution Accelerator with Block-Wise Neighbor Searcher for Large-Scaled Voxel-Based Point Cloud Network

Abstract: 3D processing plays an important role in many emerging applications such as autonomous driving, visual navigation and virtual reality. Recent research shows that adopting 3D voxel-based ...
IEEE

Tutorial on Networking for Digital Substations

Abstract: A digital substation is one where all analog interfaces, such as current and voltage measurement, equipment status and alarms, and equipment control points are converted to digitized data ...