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 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)

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)