Qinyu Sun

According to our database, Qinyu Sun authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Long and short-term characteristics of motion sickness: a test track investigation in a passenger car.

Rui Fu, Li Ma, Yingshi Guo, Qinyu Sun, Chang Wang, Wei Yuan, Tingting Lan

Cogn. Technol. Work., June, 2024

2023

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

Li Ma, Yingshi Guo, Rui Fu, Qinyu Sun

Expert Syst. Appl., June, 2023

Comparing the Effects of Visual Distraction in a High-Fidelity Driving Simulator and on a Real Highway.

Qinyu Sun, Yingshi Guo, Yongtao Liu, Chang Wang, Menglu Gu, Yanqi Su

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.

Rui Fu, Tao Huang, Mingyue Li, Qinyu Sun, Yunxing Chen

Expert Syst. Appl., 2023

Byzantine Fault-Tolerant Consensus Algorithm Based on Threshold Signature.

Qinyu Sun

Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence, 2023

2022

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

Tao Huang, Rui Fu, Yunxing Chen, Qinyu Sun

IEEE Trans. Veh. Technol., 2022

Driver's mobile phone usage detection using guided learning based on attention features and prior knowledge.

Tao Huang, Rui Fu, Qinyu Sun

Expert Syst. Appl., 2022

2021

Lane change strategy analysis and recognition for intelligent driving systems based on random forest.

Qinyu Sun, Chang Wang, Rui Fu, Yingshi Guo, Wei Yuan, Zhen Li

Expert Syst. Appl., 2021

Action recognition based on parallel convolutional recurrent neural networks.

Qinyu Sun, Ling Gao, Hongbo Guo, Shuaiyu Jia, Hai Wang, Jie Zheng

Proceedings of the Ninth International Conference on Advanced Cloud and Big Data, 2021

Action Recognition Based on Parallel Multi-Granularity Feature Refinement Networks.

Shuaiyu Jia, Ling Gao, Hongbo Guo, Qinyu Sun, Hai Wang, Jie Zheng

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.

Chang Wang, Qinyu Sun, Yingshi Guo, Rui Fu, Wei Yuan

IEEE Trans. Intell. Transp. Syst., 2020

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

Hongjia Zhang, Yanjuan Liu, Chang Wang, Rui Fu, Qinyu Sun, Zhen Li

Sensors, 2020

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

Chang Wang, Qinyu Sun, Zhen Li, Hongjia Zhang

Sensors, 2020

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

Qinyu Sun, Chang Wang, Yingshi Guo, Wei Yuan, Rui Fu

Sensors, 2020

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

Qinyu Sun, Yingshi Guo, Rui Fu, Chang Wang, Wei Yuan

Sensors, 2020

A forward collision warning system based on self-learning algorithm of driver characteristics.

Chang Wang, Qinyu Sun, Zhen Li, Hongjia Zhang, Rui Fu

J. Intell. Fuzzy Syst., 2020

2019

Cognitive Competence Improvement for Autonomous Vehicles: A Lane Change Identification Model for Distant Preceding Vehicles.

Chang Wang, Qinyu Sun, Zhen Li, Hongjia Zhang, Kaili Ruan

IEEE Access, 2019

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

Qinyu Sun, Hongjia Zhang, Zhen Li, Chang Wang, Kang Du

IEEE Access, 2019

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

Yingshi Guo, Qinyu Sun, Rui Fu, Chang Wang

IEEE Access, 2019