Yingshi Guo

According to our database, Yingshi Guo authored at least 18 papers between 2010 and 2024.

Collaborative distances:

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

2024

Driver Lane-Changing Intention Recognition Based on Stacking Ensemble Learning in the Connected Environment: A Driving Simulator Study.

Hongjia Zhang, Song Gao, Yingshi Guo

IEEE Trans. Intell. Transp. Syst., February, 2024

Driving Maneuver Detection at Intersections for Connected Vehicles: A Micro-Cluster-Based Online Adaptable Approach.

Hailun Zhang, Rui Fu, Chang Wang, Yingshi Guo, Wei Yuan

IEEE Trans. Intell. Transp. Syst., February, 2024

What Challenges Does the Full-Touch HMI Mode Bring to Driver's Lateral Control Ability? A Comparative Study Based on Real Roads.

Xia Zhao, Zhao Li, Rui Fu, Chang Wang, Yingshi Guo

IEEE Trans. Hum. Mach. Syst., February, 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

2022

Turning Maneuver Prediction of Connected Vehicles at Signalized Intersections: A Dictionary Learning-Based Approach.

Hailun Zhang, Rui Fu, Chang Wang, Yingshi Guo, Wei Yuan

IEEE Internet Things J., 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

Computational Analysis of Behavioral Intervention for the Acceptance of Automated Driving Technology.

Mingyang Deng, Yuxi Guo, Yingshi Guo

Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 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 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

Research on the Influence of Vehicle Speed on Safety Warning Algorithm: A Lane Change Warning System Case Study.

Rui Fu, Yali Zhang, Chang Wang, Wei Yuan, Yingshi Guo, Yong Ma

Sensors, 2020

Cyclist detection and tracking based on multi-layer laser scanner.

Mingfang Zhang, Rui Fu, Yingshi Guo, Li Wang, Pangwei Wang, Hui Deng

Hum. centric Comput. Inf. Sci., 2020

Do situational or cognitive factors contribute more to risky driving? A simulated driving study.

Zhi Zhang, Yingshi Guo, Rui Fu, Wei Yuan, Guosong Yang

Cogn. Technol. Work., 2020

Factors Influencing the User Acceptance of Automated Vehicles Based on Vehicle-Road Collaboration.

Mingyang Deng, Yingshi Guo, Rui Fu, Chang Wang

IEEE Access, 2020

2019

The Impact of Cognitive Distraction on Driver Perception Response Time Under Different Levels of Situational Urgency.

Zhi Zhang, Yingshi Guo, Wei Yuan, Chang Wang

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

2010

Simulation and optimization of angle characteristic model for steer by wire system.

Wei Yuan, Rui Fu, Yingshi Guo, Yajun Zhu

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010