Peng Ping

Development and validation of AI delineation of the thoracic RTOG organs at risk with deep learning on multi-institutional datasets

Xianghua Ye, Dazhou Guo, Lujun Zhao, Congying Xie et autres

Introduction: Accurate contouring of thoracic organs at risk (OARs) is essential for minimizing complications in radiation treatment. Manual contouring of thoracic OARs is not only time-consuming but also prone to substantial user variation. To enhance the efficiency and consistency, we developed a …

Channel Interaction and Transformer Depth Estimation Network: Robust Self-Supervised Depth Estimation Under Varied Weather Conditions

Jianqiang Liu, Zhengyu Guo, Peng Ping, Hao Ran Zhang et autres

Monocular depth estimation provides low-cost environmental information for intelligent systems such as autonomous vehicles and robots, supporting sustainable development by reducing reliance on expensive, energy-intensive sensors and making technology more accessible and efficient. However, in practical applications, monocular vision is highly susceptible …

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A Novel Electrical Equipment Status Diagnosis Method Based on Super-Resolution Reconstruction and Logical Reasoning

Peng Ping, Qida Yao, Wei Jie Guo, Changrong Liao

The accurate detection of electrical equipment states and faults is crucial for the reliable operation of such equipment and for maintaining the health of the overall power system. The state of power equipment can be effectively monitored through deep learning-based visual inspection …

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An Adaptive Two-Dimensional Voxel Terrain Mapping Method for Structured Environment

Hang Zhou, Peng Ping, Quan Shi, Hailong Chen

Accurate terrain mapping information is very important for foot landing planning and motion control in foot robots. Therefore, a terrain mapping method suitable for an indoor structured environment is proposed in this paper. Firstly, by constructing a terrain mapping framework and adding …

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Distracted driving detection based on the fusion of deep learning and causal reasoning

Peng Ping, Cong Mei Huang, Weiping Ding, Yongkang Liu et autres

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An enhanced driver’s risk perception modeling based on gate recurrent unit network

Peng Ping, Weiping Ding, Yongkang Liu, Kazuya Takeda

Risk perception is one of the most important driving skills for drivers to detect potential traffic accident and make correct risk avoidance behaviors. Accurate model and evaluation of risk perception can effectively identify driver’s perception deficiencies and serve as an important human …

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Numerical study of discharge characteristics of an atmospheric pressure plasma jet with a coaxial dual-channel inlet

Bingchuan Wang, Wanshun Li, Bide Zhang, Kai Liu et autres

A two-dimensional axisymmetric fluid model was applied to investigate the influence of N2 flow velocity on the discharge characteristics of a He plasma jet with a coaxial dual-channel inlet. Helium working gas flowed in the annular space of a coaxial tube and …

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Wavelet time-frequency diagram and convolutional neural network-based fault diagnosis of commutation failure in HVDC transmission system

Kai Liu, Bide Zhang, Chen Zhao, Chengjian Li et autres

Commutation failure is the most typical system failure of HVDC transmission system. Serious commutation failure will lead to subsequent continuous commutation failure, which will cause greater harm to the safe operation of power system. For the purpose of realizing the effective identification …

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Attention-Based Context Aware Network for Semantic Comprehension of Aerial Scenery

Weipeng Shi, Wenhu Qin, Zhonghua Yun, Peng Ping et autres

It is essential for researchers to have a proper interpretation of remote sensing images (RSIs) and precise semantic labeling of their component parts. Although FCN (Fully Convolutional Networks)-like deep convolutional network architectures have been widely applied in the perception of autonomous cars, …

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Impact of Driver Behavior on Fuel Consumption: Classification, Evaluation and Prediction Using Machine Learning

Peng Ping, Wenhu Qin, Yang Xu, Chiyomi Miyajima et autres

Driving behavior has a large impact on vehicle fuel consumption. Dedicated study on the relationship between the driving behavior and fuel consumption can contribute to decreasing the energy cost of transportation and the development of the behavior assessment technology for the ADAS …

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Analysis for the Influence of ABR Sensitivity on PTT-Based Cuff-Less Blood Pressure Estimation before and after Exercise

Yang Xu, Peng Ping, Dong Wang, Weigong Zhang

An accurate and continuous measurement of blood pressure (BP) is of great importance for the prognosis of some cardiovascular diseases in out-of-hospital settings. Pulse transit time (PTT) is a well-known cardiovascular parameter which is highly correlated with BP and has been widely …

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A calibration method for cuffless continue blood pressure measurement using Gaussian normalized pulse transit time

Yang Xu, Weigong Zhang, Dong Wang, Peng Ping

An accurate and convenient noninvasive continue measurement of blood pressure (BP) is of great importance for the evaluation of circulatory function and prognosis of some cardiovascular diseases in out-of-hospital setting. Pulse transit time (PTT) is the most popular indicator for cuff-less BP …

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