Zhenhai Gao

Orcid: 0000-0002-4623-3956

According to our database1, Zhenhai Gao authored at least 26 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Leveraging Monte Carlo Dropout for Uncertainty Quantification in Real-Time Object Detection of Autonomous Vehicles.
IEEE Access, 2024

Collision Risk Assessment for Intelligent Vehicles Considering Multi-Dimensional Uncertainties.
IEEE Access, 2024

2023
High-Density Functional Near-Infrared Spectroscopy and Machine Learning for Visual Perception Quantification.
Sensors, October, 2023

Holistic transformer: A joint neural network for trajectory prediction and decision-making of autonomous vehicles.
Pattern Recognit., September, 2023

Driver Identification Using Deep Generative Model With Limited Data.
IEEE Trans. Intell. Transp. Syst., May, 2023

Dynamic Drifting Control for General Path Tracking of Autonomous Vehicles.
IEEE Trans. Intell. Veh., March, 2023

Trajectory Prediction Neural Network and Model Interpretation Based on Temporal Pattern Attention.
IEEE Trans. Intell. Transp. Syst., March, 2023

An Enhanced Low-Resolution Image Recognition Method for Traffic Environments.
CoRR, 2023

Online Safety Verification of Autonomous Driving Decision-Making Based on Dynamic Reachability Analysis.
IEEE Access, 2023

2022
Data Filtering Method for Intelligent Vehicle Shared Autonomy Based on a Dynamic Time Warping Algorithm.
Sensors, 2022

Vehicle trajectory prediction considering aleatoric uncertainty.
Knowl. Based Syst., 2022

2021
Monocular 3-D Vehicle Detection Using a Cascade Network for Autonomous Driving.
IEEE Trans. Instrum. Meas., 2021

Lane departure warning algorithm based on probability statistics of driving habits.
Soft Comput., 2021

A Brain-Inspired Decision-Making Linear Neural Network and Its Application in Automatic Drive.
Sensors, 2021

Lane changing assistance strategy based on an improved probabilistic model of dynamic occupancy grids.
Frontiers Inf. Technol. Electron. Eng., 2021

Cost-sensitive semi-supervised deep learning to assess driving risk by application of naturalistic vehicle trajectories.
Expert Syst. Appl., 2021

2020
De-Skewing LiDAR Scan for Refinement of Local Mapping.
Sensors, 2020

Quantitative Evaluation of Vehicle Seat Driving Comfort During Short and Long Term Driving.
IEEE Access, 2020

Human-Computer Driving Collaborative Control System for Curve Driving.
Proceedings of the Design, Operation and Evaluation of Mobile Communications, 2020

2019
Traffic Density Recognition Based on Image Global Texture Feature.
Int. J. Intell. Transp. Syst. Res., 2019

Research on 3D Point Cloud De-Distortion Algorithm and Its Application on Euclidean Clustering.
IEEE Access, 2019

2018
Analysis on Biosignal Characteristics to Evaluate Road Rage of Younger Drivers: A Driving Simulator Study.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

A Biosignal Based Driving Experience Analysis for Curved Road: An Initial Implementation.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2016
Control mode switching strategy for ACC based on intuitionistic fuzzy set multi-attribute decision making method.
J. Intell. Fuzzy Syst., 2016

Interacting multiple model for improving the precision of vehicle-mounted global position system.
Comput. Electr. Eng., 2016

2011
Soft sensor of vehicle state based on UKF and vehicle dynamics.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011


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