Ping Wang

Orcid: 0000-0003-2963-9476

Affiliations:
  • Sun Yat-sen University, Shenzhen, China
  • Northwestern Polytechnical University, Xian, China
  • Chang'an University, Xi'an, China (former)
  • Loughborough University / Nanyang Technological University, International Collaboration Joint Laboratory, Singapore (former)
  • Nanyang Technological University, School of Mechanical and Aerospace Engineering, Singapore (PhD 2012)


According to our database1, Ping Wang authored at least 21 papers between 2016 and 2024.

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Bibliography

2024
Quantitative Measurement of Parkinson's Disease Gait Based on the Rehabilitation Monitoring Robot.
IEEE Trans. Instrum. Meas., 2024

2023
Reciprocal of Exponential Varying-Parameter RNN Solving Repetitive Tracking Control Problems With Tolerance of Random Initial Error Compounded With Noise Perturbation.
IEEE Trans. Ind. Informatics, November, 2023

2022
A Fast Video Fire Detection of Irregular Burning Feature in Fire-Flame Using in Indoor Fire Sensing Robots.
IEEE Trans. Instrum. Meas., 2022

Automatic generation of fine-grained traffic load spectrum via fusion of weigh-in-motion and vehicle spatial-temporal information.
Comput. Aided Civ. Infrastructure Eng., 2022

Adaptive traffic signal control based on Dueling Deep Q-Learning Network.
Proceedings of the 4th International Conference on Robotics, 2022

Correlation Analysis of Surface Electromyography Signals Based on Mapping Graph Structure.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

2021
Fine-Grained Traffic Flow Prediction of Various Vehicle Types via Fusion of Multisource Data and Deep Learning Approaches.
IEEE Trans. Intell. Transp. Syst., 2021

2020
Exploiting Deeply Supervised Inception Networks for Automatically Detecting Traffic Congestion on Freeway in China Using Ultra-Low Frame Rate Videos.
IEEE Access, 2020

A Practical Weather Detection Method Built in the Surveillance System Currently Used to Monitor the Large-Scale Freeway in China.
IEEE Access, 2020

Smart Car Detection and Tracking Control Based on Panoramic Image.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

Improved Deep Learning Method to Fast Detect Vehicles Driving on a Long Span Cable-Stayed Bridge.
Proceedings of the 16th International Conference on Control, 2020

Research on Allocation and Dispatching Strategies of Rescue Vehicles in Emergency Situation on the Freeway.
Proceedings of the 16th International Conference on Control, 2020

2019
Forecasting Traffic Volume at a Designated Cross-Section Location on a Freeway From Large-Regional Toll Collection Data.
IEEE Access, 2019

Quantitative Assessment on Truck-Related Road Risk for the Safety Control via Truck Flow Estimation of Various Types.
IEEE Access, 2019

Improved Manpower Planning Based on Traffic Flow Forecast Using a Historical Queuing Model.
IEEE Access, 2019

2018
Regional Detection of Traffic Congestion Using in a Large-Scale Surveillance System via Deep Residual TrafficNet.
IEEE Access, 2018

Hybrid Traffic Forecasting Model With Fusion of Multiple Spatial Toll Collection Data and Remote Microwave Sensor Data.
IEEE Access, 2018

Prediction of EMG Signal on Missing Channel from Signal Captured from Other Related Channels via Deep Neural Network.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

2017
Active tracking movements of flexion and extension on the elbow joint for an initial prototype of EMG-driven assistant exoskeleton.
Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017

Walking trajectory generation for a 3D printing biped robot based on human natural gait and ZMP criteria.
Proceedings of the 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2017

2016
Autocorrelation analysis of lower limb EMG signals for the initial evaluation of hemiparetic gaits.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016


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