Adaptive Non-Linear Joint Probabilistic Data Association for Vehicle Target Tracking. - Shijie Zhao 003; Yang Wang; Pengyu Wang; Tianfei Ma; Konghui Guo (IEEE Access, 2021)

An objective evaluation method for automated vehicle virtual test. - Shijie Zhao 003; Ziru Wei; Pengyu Wang; Tianfei Ma; Konghui Guo (Expert Syst. Appl., 2022)

Research on Deep Reinforcement Learning Control Algorithm for Active Suspension Considering Uncertain Time Delay. - Yang Wang; Cheng Wang 028; Shijie Zhao 003; Konghui Guo (Sensors, 2023)

Enhancing vehicle ride comfort through deep reinforcement learning with expert-guided soft-hard constraints and system characteristic considerations. - Cheng Wang 028; Xiaoxian Cui; Shijie Zhao 003; Xinran Zhou; Yaqi Song; Yang Wang; Konghui Guo (Adv. Eng. Informatics, 2024)

A deep reinforcement learning-based active suspension control algorithm considering deterministic experience tracing for autonomous vehicle. - Cheng Wang 028; Xiaoxian Cui; Shijie Zhao 003; Xinran Zhou; Yaqi Song; Yang Wang; Konghui Guo (Appl. Soft Comput., 2024)

Method for Estimating Road Impulse Ahead of Vehicles in Urban Environment with Microelectromechanical System Three-Dimensional Sensor. - Shijie Zhao 003; Minghao Wang; Pengyu Wang; Yang Wang; Konghui Guo (Sensors, 2024)

The application of deep learning in stereo matching and disparity estimation: A bibliometric review. - Cheng Wang 028; Xiaoxian Cui; Shijie Zhao 003; Konghui Guo; Yang Wang; Yaqi Song (Expert Syst. Appl., 2024)