Qinyu Sun

Orcid: 0000-0002-6446-0570

According to our database1, Qinyu Sun authored at least 17 papers between 2019 and 2023.

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

Timeline

Legend:

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Links

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Bibliography

2023
Passenger non-driving related tasks detection using a light weight neural network based on human prior knowledge and soft-hard feature constraints.
Expert Syst. Appl., June, 2023

Comparing the Effects of Visual Distraction in a High-Fidelity Driving Simulator and on a Real Highway.
IEEE Trans. Intell. Transp. Syst., April, 2023

A multimodal deep neural network for prediction of the driver's focus of attention based on anthropomorphic attention mechanism and prior knowledge.
Expert Syst. Appl., 2023

2022
Real-Time Driver Behavior Detection Based on Deep Deformable Inverted Residual Network With an Attention Mechanism for Human-Vehicle Co-Driving System.
IEEE Trans. Veh. Technol., 2022

Driver's mobile phone usage detection using guided learning based on attention features and prior knowledge.
Expert Syst. Appl., 2022

2021
Lane change strategy analysis and recognition for intelligent driving systems based on random forest.
Expert Syst. Appl., 2021

Action recognition based on parallel convolutional recurrent neural networks.
Proceedings of the Ninth International Conference on Advanced Cloud and Big Data, 2021

Action Recognition Based on Parallel Multi-Granularity Feature Refinement Networks.
Proceedings of the Ninth International Conference on Advanced Cloud and Big Data, 2021

2020
Improving the User Acceptability of Advanced Driver Assistance Systems Based on Different Driving Styles: A Case Study of Lane Change Warning Systems.
IEEE Trans. Intell. Transp. Syst., 2020

Research on a Pedestrian Crossing Intention Recognition Model Based on Natural Observation Data.
Sensors, 2020

Human-Like Lane Change Decision Model for Autonomous Vehicles that Considers the Risk Perception of Drivers in Mixed Traffic.
Sensors, 2020

Research on a Cognitive Distraction Recognition Model for Intelligent Driving Systems Based on Real Vehicle Experiments.
Sensors, 2020

Human-Like Obstacle Avoidance Trajectory Planning and Tracking Model for Autonomous Vehicles That Considers the Driver's Operation Characteristics.
Sensors, 2020

A forward collision warning system based on self-learning algorithm of driver characteristics.
J. Intell. Fuzzy Syst., 2020

2019
Cognitive Competence Improvement for Autonomous Vehicles: A Lane Change Identification Model for Distant Preceding Vehicles.
IEEE Access, 2019

ADAS Acceptability Improvement Based on Self-Learning of Individual Driving Characteristics: A Case Study of Lane Change Warning System.
IEEE Access, 2019

Improved Car-Following Strategy Based on Merging Behavior Prediction of Adjacent Vehicle From Naturalistic Driving Data.
IEEE Access, 2019


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