A5031227866- Direction-of-Arrival Estimation Techniques
- Speech and Audio Processing
- Antenna Design and Optimization
- Advanced Adaptive Filtering Techniques
- Autonomous Vehicle Technology and Safety
- Retinal Imaging and Analysis
- Indoor and Outdoor Localization Technologies
- Advanced Neural Network Applications
- Radar Systems and Signal Processing
- Robotics and Sensor-Based Localization
- Structural Health Monitoring Techniques
- Blind Source Separation Techniques
- Advanced Image and Video Retrieval Techniques
- Domain Adaptation and Few-Shot Learning
- Robotic Path Planning Algorithms
- Cerebrovascular and Carotid Artery Diseases
- Radiomics and Machine Learning in Medical Imaging
- Medical Image Segmentation Techniques
- Control Systems and Identification
- COVID-19 diagnosis using AI
- Cloud Computing and Resource Management
- Coronary Interventions and Diagnostics
- AI in cancer detection
- Real-time simulation and control systems
- Underwater Acoustics Research
Xi'an Jiaotong University
2016-2025
Zhengzhou University
2024
Institute of Art
2010-2024
Nanchang University
2024
Beijing Academy of Artificial Intelligence
2020
Xi'an University of Technology
2018
Tianjin Municipal Engineering Design and Research Institute
2017
Wuhan Ship Development & Design Institute
2016
Ministry of Education of the People's Republic of China
2014
Fujitsu (Japan)
2002-2007
The coronavirus disease 2019 (COVID-19) breaking out in late December is gradually being controlled China, but it still spreading rapidly many other countries and regions worldwide. It urgent to conduct prediction research on the development spread of epidemic. In this article, a hybrid artificial-intelligence (AI) model proposed for COVID-19 prediction. First, as traditional epidemic models treat all individuals with having same infection rate, an improved susceptible–infected (ISI)...
With the potential to increase road safety and provide economic benefits, intelligent vehicles have elicited a significant amount of interest from both academics industry. A robust reliable vehicle detection tracking system is one key modules for perceive surrounding environment. The millimeter-wave radar monocular camera are two vehicular sensors commonly used tracking. Despite their advantages, drawbacks these make them insufficient when separately. Thus, fusion considered as an efficient...
Long-tail effect, characterized by highly frequent occurrence of normal scenarios and the scarce appearance extreme "long-tail" scenarios, ubiquitously exists in vision-related problems real-world applications. Though many computer vision methods to date have already achieved feasible performance for most it is still challenging existing systems accurately perceive long-tail scenarios. This deficiency largely hinders practical application systems, since may incur fatal consequences, such as...
In order to mitigate the effect of additive noises and reduce computational burden, we propose a new computationally efficient cross-correlation based two-dimensional (2-D) direction-of-arrivals (DOAs) estimation (CODE) method for noncoherent narrowband signals impinging on L-shaped sensor array structured by two uniform linear arrays (ULAs). By estimating azimuth elevation angles independently with one-dimensional (1-D) subspace-based technique without eigendecomposition, where null spaces...
Abstract Fine‐tuning of the nanoscale morphologies active layers in polymer solar cells (PSCs) through various techniques plays a vital role improving photovoltaic performance. However, for emerging nonfullerene (NF) PSCs, morphology optimization active‐layer films empirically follows methods originally developed fullerene‐based blends and lacks systematic studies. In this work, two solid additives with different volatilities, SA‐4 SA‐7, are applied to investigate their influence on...
This paper presents a systematic scheme for fusing millimeter wave (MMW) radar and monocular vision sensor on-road obstacle detection. As whole, three-level fusion strategy based on visual attention mechanism driver’s consciousness is provided MMW so as to obtain better comprehensive performance. Then an experimental method radar-vision point alignment easy operation with no reflection intensity of special tool requirements put forward. Furthermore, region searching approach potential target...
We propose a new subspace-based localization of far-field (FF) and near-field (NF) narrowband signals (LOFNS) without eigendecomposition impinging on symmetrical uniform linear array, where the oblique projection operator is utilized to isolate NF from FF ones, procedures computationally burdensome are not required in estimation location parameters computation operator. As measure against impact finite array data, an alternating iterative scheme presented improve accuracy and, hence, that...
Autonomous driving technology has achieved significant breakthroughs in open scenarios, enabling the deployment of excellent positioning, detection, and navigation algorithms on passenger vehicles. However, there been limited research attention devoted to autonomous for specialized vehicles non-open scenarios. This manuscript introduces a perception system designed heavy-duty mining transportation trucks operating open-pit mines, which are typical The comprises four independent algorithms:...
Over the past decades, there has been significant research effort dedicated to development of autonomous vehicles and advanced driver assistance systems. The driving control system, which is responsible for trajectory tracking safety, one most important technologies vehicles. This paper describes design including both longitudinal lateral controllers, Kuafu-II vehicle. Compared with previous researches that inevitably require a large amount parameters, presented system in this integrates...
This paper deals with the two-dimensional (2-D) direction-of-arrival (DOA) estimation of a mixture noncoherent (including uncorrelated and partially correlated) coherent (i.e., fully narrowband signals impinging on planar sensor array composed two parallel uniform linear arrays (ULAs). An oblique projection based approach for 2-D direction (OPADE) is proposed by using some cross-correlations between received data. In OPADE, utilized to isolate from ones effect additive noise alleviated,...
This paper investigates the localization of multiple near-field narrowband sources with a symmetric uniform linear array, and new prediction approach based on truncated singular value decomposition (LPATS) is proposed by taking an advantage anti-diagonal elements noiseless array covariance matrix. However, when number snapshots not sufficiently large enough, "saturation behavior" usually encountered in most existing methods for sources, where estimation errors estimated directions-of-arrival...
Inspired by the computational simplicity and numerical stability of QR decomposition, a nonparametric method for estimating number signals without eigendecomposition (MENSE) is proposed coherent narrowband impinging on uniform linear array (ULA). By exploiting geometry its shift invariance property to decorrelate coherency through subarray averaging, revealed in rank upper-trapezoidal factor autoproduct combined Hankel matrix formed from cross correlations between some sensor data. Since...
Today, an increasing number of applications and services are being hosted by large-scale data centers. The massive irregular load surges challenge center power infrastructures. As a result, mismatching between supply demand has emerged as crucial issue in modern centers which either under-provisioned or powered intermittent sources. Recent proposals have employed energy storage devices such the uninterruptible (UPS) systems to address this issue. However, current approaches lack capacity...
Purpose Early detection of carotid atherosclerosis on the vessel wall (VW) magnetic resonance imaging (MRI) (VW‐MRI) images can prevent progression cardiovascular disease. However, manual inspection process VW‐MRI is cumbersome and has low reproducibility. Therefore in this paper, by using convolutional neural networks (CNNs), we develop a deep morphology aided diagnosis (DeepMAD) network for automated segmentation VW artery with black‐blood (BB) (i.e., T1‐weighted MRI) slice‐by‐slice...
Background: The coronavirus disease 2019 (COVID-19) breaking out in late December is gradually being controlled China, but it still spreading other countries and regions worldwide. It urgent to conduct prediction research on the development spread of epidemic.Methods: A hybrid AI model proposed for COVID-19 prediction. First, by analyzing change infectious capacity virus carriers within a few days after infection, an improved SI (ISI) proposed. Second, considering effects prevention control...
With the maturation of autonomous driving technology, use vehicles in a socially acceptable manner has become growing demand public. Human-like is expected due to impact differences between and human drivers on safety. Although human-like decision-making research hotspot, unified theory not yet been formed, there are significant implementation performance existing methods. This paper provides comprehensive overview for vehicles. The following issues discussed: 1) intelligence level most...
Inspired by the cooperation between cone cell and rod in human vision system, this paper presents a novel method for fusing millimeter wave (MMW) radar monocular sensor information on-road obstacle detection. The MMW performs similarly as to indicate potential target region view, while camera plays same role that of obtain precise contour allow tracking over frames. Using real-world data collected from vehicles, experimental evaluations have shown that, our proposed system could detect...
This paper deals with the problem of tracking two-dimensional (2-D) direction-of-arrivals (DOAs) multiple moving targets crossover points on their trajectories, and we propose a new computationally efficient cross-correlation based 2-D DOA estimation automatic pair-matching (CODEC) method for noncoherent narrowband signals impinging L-shaped sensor array structured by two uniform linear arrays (ULAs) omnidirectional sensors. The effectiveness proposed theoretical analysis are substantiated...