Peng Ping
Orcid: 0009-0002-6300-5848
  According to our database1,
  Peng Ping
  authored at least 16 papers
  between 2018 and 2026.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2026
A comprehensive survey on multi-sensor information processing and fusion for BEV perception in autonomous vehicles.
    
  
    Inf. Fusion, 2026
    
  
  2025
BEV-TinySpotter: A novel BEV perception method considering multi-dimensional feature fusion of small target.
    
  
    Inf. Fusion, 2025
    
  
Broad learning systems: An overview of recent advances, applications, challenges and future directions.
    
  
    Neurocomputing, 2025
    
  
  2024
A Novel Electrical Equipment Status Diagnosis Method Based on Super-Resolution Reconstruction and Logical Reasoning.
    
  
    Sensors, July, 2024
    
  
ODFa${}^{2}$: Overall Defense Framework Against Cyber-Attacks on Intelligent Connected Vehicles.
    
  
    IEEE Trans. Veh. Technol., May, 2024
    
  
A Joint State and Fault Estimation Scheme for State-Saturated System with Energy Harvesting Sensors.
    
  
    Sensors, March, 2024
    
  
  2023
    Sensors, December, 2023
    
  
Distracted driving detection based on the fusion of deep learning and causal reasoning.
    
  
    Inf. Fusion, 2023
    
  
  2022
    Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
    
  
  2021
    Sensors, 2021
    
  
  2019
Impact of Driver Behavior on Fuel Consumption: Classification, Evaluation and Prediction Using Machine Learning.
    
  
    IEEE Access, 2019
    
  
  2018
Detection of ventricular tachycardia and fibrillation using adaptive variational mode decomposition and boosted-CART classifier.
    
  
    Biomed. Signal Process. Control., 2018
    
  
A calibration method for cuffless continue blood pressure measurement using Gaussian normalized pulse transit time.
    
  
    Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018
    
  
Spectral clustering based approach for evaluating the effect of driving behavior on fuel economy.
    
  
    Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018