Improved Car-Following Strategy Based on Merging Behavior Prediction of Adjacent Vehicle From Naturalistic Driving Data. - Yingshi Guo; Qinyu Sun; Rui Fu; Chang Wang 002 (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 019; Chang Wang 002; Kang Du (IEEE Access, 2019)

Cognitive Competence Improvement for Autonomous Vehicles: A Lane Change Identification Model for Distant Preceding Vehicles. - Chang Wang 002; Qinyu Sun; Zhen Li 019; Hongjia Zhang; Kaili Ruan (IEEE Access, 2019)

A forward collision warning system based on self-learning algorithm of driver characteristics. - Chang Wang 002; Qinyu Sun; Zhen Li 019; Hongjia Zhang; Rui Fu (J. Intell. Fuzzy Syst., 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 002; Wei Yuan 010 (Sensors, 2020)

Research on a Cognitive Distraction Recognition Model for Intelligent Driving Systems Based on Real Vehicle Experiments. - Qinyu Sun; Chang Wang 002; Yingshi Guo; Wei Yuan 010; Rui Fu (Sensors, 2020)

Human-Like Lane Change Decision Model for Autonomous Vehicles that Considers the Risk Perception of Drivers in Mixed Traffic. - Chang Wang 002; Qinyu Sun; Zhen Li 019; Hongjia Zhang (Sensors, 2020)

Research on a Pedestrian Crossing Intention Recognition Model Based on Natural Observation Data. - Hongjia Zhang; Yanjuan Liu; Chang Wang 002; Rui Fu; Qinyu Sun; Zhen Li 019 (Sensors, 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 002; Qinyu Sun; Yingshi Guo; Rui Fu; Wei Yuan 010 (IEEE Trans. Intell. Transp. Syst., 2020)

Action Recognition Based on Parallel Multi-Granularity Feature Refinement Networks. - Shuaiyu Jia; Ling Gao; Hongbo Guo; Qinyu Sun; Hai Wang 010; Jie Zheng 005 (CBD, 2021)

Action recognition based on parallel convolutional recurrent neural networks. - Qinyu Sun; Ling Gao; Hongbo Guo; Shuaiyu Jia; Hai Wang 010; Jie Zheng 005 (CBD, 2021)

Lane change strategy analysis and recognition for intelligent driving systems based on random forest. - Qinyu Sun; Chang Wang 002; Rui Fu; Yingshi Guo; Wei Yuan 010; Zhen Li 019 (Expert Syst. Appl., 2021)

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)

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)

Byzantine Fault-Tolerant Consensus Algorithm Based on Threshold Signature. - Qinyu Sun (ICIEAI, 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)

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 002; Menglu Gu; Yanqi Su (IEEE Trans. Intell. Transp. Syst., 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., 2023)

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 002; Wei Yuan 010; Tingting Lan (Cogn. Technol. Work., 2024)

Driver's trust assessment based on situational awareness under human-machine collaboration driving. - Qinyu Sun; Hang Zhou; Rui Fu; Yaning Xu; Chang Wang 002; Yingshi Guo (Eng. Appl. Artif. Intell., 2025)

Toward Human-Vehicle Collaboration for Automated Vehicles: A Review and Perspective. - Tao Huang; Rui Fu; Qinyu Sun; Zejian Deng; Shucheng Huang; Lisheng Jin (IEEE Trans. Intell. Transp. Syst., 2025)