Chen Chen

Optical analysis of and chemiluminescence in sooting flames

Jiaying He, Runtian Yu, Chen Chen, Kaixuan Yang et autres

Abstract As flame spectra contain important flame information, this study presents a novel hyperspectral information processing method for CH * and chemiluminescence visualization in hydrocarbon diffusion flames under various operating conditions. Flames spectral information of 400–1000 nm is obtained using a hyperspectral …

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“Cage-confined” composite membranes based on natural multilayer bio-membranes as high-performance proton exchange membrane for fuel cells

Shijun Xing, Chen Chen, Aruzhan Keneshbekova, Jiayi Chen et autres

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A 4-D Antenna Array With Hemispherical Spatial Coverage

Chen Chen, Xiuqiong Huang, Wensheng Qiao, Yuansong Zeng et autres

A four-dimensional (4-D) antenna array with hemispherical spatial coverage is proposed for seamless connectivity over a wide area. The antenna array is composed of 4 sequentially rotated folded monopole elements, each connected to a high-speed RF switch and arranged in a circular …

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Finite-Time Formation Control for Fixed-Wing UAVs Based on Fully Actuated System Approach

Zhengyuan Li, Chen Chen, Jian Guo

This paper investigates the formation control of the fixed-wing unmanned aerial vehicle (UAV) systems with unknown external disturbances. Addressing the complex modeling issues of UAVs, an innovative modeling method called fully-actuated system approach (FASA) has been innovated. Then, a distributed leader-following formation …

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SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing

Chen Chen, Liangjin Zhao, Yuanrong He, Kaiqiang Chen et autres

Semantic segmentation and 3D reconstruction are two fundamental tasks in remote sensing, typically treated as separate or loosely coupled tasks. Despite attempts to integrate them into a unified network, the constraints between the two heterogeneous tasks are not explicitly modeled, since the …

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SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing

Chen Chen, Liangjin Zhao, Yuanrong He, Kaiqiang Chen et autres

Semantic segmentation and 3D reconstruction are two fundamental tasks in remote sensing, typically treated as separate or loosely coupled tasks. Despite attempts to integrate them into a unified network, the constraints between the two heterogeneous tasks are not explicitly modeled, since the …

An Efficient ISAR Imaging Method of the Rotors of Small UAVs via Simplified CIRT

Chen Chen, Zhiyong Xu, Sirui Tian, Min Deng

The radar imaging of the rotors of unmanned aerial vehicles (UAVs) has great help to the detection and recognition of the UAVs. Most existing inverse synthetic aperture radar (ISAR) imaging methods can only obtain the image of the rigid body, whereas the …

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Using Direct-Georeferencing with a MEMS-LiDAR to Classify Traffic Signs, an Automatic Approach

Xuanzhi Liu, Ehsan Khoramshahi, Ruochen Zhang, Chen Chen et autres

In this article, a micro-electromechanical systems light-detection and ranging (MEMS-LiDAR) based sampling method for traffic sign recognition is presented. MEMS-LiDAR is an emerging remote-sensing technology in the autopilot (AP) area. Existing published scientific reports have been less concerned with using point-cloud datasets …

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Towards robust visual explanations for deep convolutional networks with weight-wise perturbations

Kaifan Lang, Chen Chen, Junshuai Zheng, Xiyuan Hu et autres

Explaining the complicated mechanisms underlying the image classification capabilities of deep Convolutional Neural Network (CNN) models, continue to pose huge challenges within the field of computer vision. To address this concern, numerous interpretability methods have been devised, aimed at clarifying the image …

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An Up-View Visual-Based Indoor Positioning Method via Deep Learning

Chen Chen, Yuwei Chen, Jianliang Zhu, Changhui Jiang et autres

Indoor positioning plays a crucial role in various domains. It is employed in various applications, such as navigation, asset tracking, and location-based services (LBS), in Global Navigation Satellite System (GNSS) denied or degraded areas. The visual-based positioning technique is a promising solution …

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An APDR/UPV/Light Multisensor-Based Indoor Positioning Method via Factor Graph Optimization

Chen Chen, Yicheng Wang, Yuwei Chen, Changhui Jiang et autres

With the rapid development of Micro-Electro-Mechanical Systems (MEMS), smartphones become one of the most convenient tools to realize pedestrian positioning during daily life. Meanwhile, indoor positioning is a crucial part of pedestrian positioning. Facing the challenges associated with insufficient Global Navigation Satellite …

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A Probabilistic Method-Based Smartphone GNSS Fault Detection and Exclusion System Utilizing PDR Step Length

Changhui Jiang, Yuwei Chen, Zuoya Liu, Qingyuan Xia et autres

A smartphone equipped with a Global Navigation Satellite System (GNSS) module can generate positional information for location-based services. However, GNSS signals are susceptible to fragility, multipath (MP), and Non-Line-Of-Sight (NLOS) interference, which can lead to a degradation in the accuracy of GNSS …

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