IEEE

A Review of Deep Learning-Based Semantic Segmentation for Point Cloud

Abstract: In recent years, the popularity of depth sensors and 3D scanners has led to a rapid development of 3D point clouds. Semantic segmentation of point cloud, as a key step in understanding 3D ...
IEEE

3D-ReConstnet: A Single-View 3D-Object Point Cloud Reconstruction Network

Abstract: Object 3D reconstruction from a single-view image is an ill-posed problem. Inferring the self-occluded part of an object makes 3D reconstruction a challenging and ambiguous task. In this ...
IEEE

Flux Observer Based on Enhanced Second-Order Generalized Integrator With Limit Cycle Oscillator for Sensorless PMSM Drives

Abstract: In a position sensorless permanent magnet synchronous motor (PMSM) drive system, parameter mismatch will introduce estimation error in the stator flux and ...
IEEE

Remote Sensing Object Detection Meets Deep Learning: A metareview of challenges and advances

Abstract: Remote sensing object detection (RSOD), one of the most fundamental and challenging tasks in the remote sensing field, has received long-standing attention. In recent years, deep learning ...
IEEE

Nonlinear Control for Spacecraft Pursuit-Evasion Game Using the State-Dependent Riccati Equation Method

Abstract: Spacecraft pursuit-evasion game is formulated as a two-player zero-sum differential game. The Hill reference frame is used to describe the dynamics of the game. The goal is to derive ...
IEEE

3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception

Abstract: We present a review of 3D point cloud processing and learning for autonomous driving. As one of the most important sensors in autonomous vehicles (AVs), lidar sensors collect 3D point clouds ...
IEEE

Security Operations Center: A Systematic Study and Open Challenges

Abstract: Since the introduction of Security Operations Centers (SOCs) around 15 years ago, their importance has grown significantly, especially over the last five years. This is mainly due to the ...
IEEE

Appearance-Based Gaze Estimation With Deep Learning: A Review and Benchmark

Abstract: Human gaze provides valuable information on human focus and intentions, making it a crucial area of research. Recently, deep learning has revolutionized appearance-based gaze estimation.
IEEE

Image-Integrated Magnetic Actuation Systems for Localization and Remote Actuation of Medical Miniature Robots: A Survey

Abstract: Magnetic miniature robots are promising tools for minimally invasive and noninvasive therapy. Constructing systems with actuation–perception loops is an essential step to progress from ...
IEEE

A Novel Band Selection and Spatial Noise Reduction Method for Hyperspectral Image Classification

Abstract: As an essential reprocessing method, dimensionality reduction (DR) can reduce the data redundancy and improve the performance of hyperspectral image (HSI) classification. A novel ...
IEEE

Multi-Sensor Track-to-Track Association and Spatial Registration Algorithm Under Incomplete Measurements

Abstract: Spatial registration and track-to-track association (which are mutually coupled) are essential parts in the process of multi-sensor information fusion. The quality of the spatial ...
IEEE

Analysis and Design of Ultra Thin Electromagnetic Absorbers Comprising Resistively Loaded High Impedance Surfaces

Abstract: High-impedance surfaces (HIS) comprising lossy frequency selective surfaces (FSS) are employed to design thin electromagnetic absorbers. The structure, despite its typical resonant behavior, ...