Autonomous vehicles

Autonomous vehicles testing considering utility-based operable tasks

An intelligent testing method based on operable testing tasks.

Jingwei Ge, 张嘉玮, Yi Zhang, Danya Yao, Zuo Zhang, Rui Zhou

Autonomous vehicles testing considering utility-based operable tasks

Dynamic testing for autonomous vehicles using random Quasi Monte Carlo

In this paper, a novel optimization problem is described and a dynamic scenario sampling method is proposed to cover more critical scenarios with finite samples.

Jingwei Ge, 张嘉玮, Cheng Chang, Yi Zhang, Danya Yao, Yonglin Tian, Li Li

Dynamic testing for autonomous vehicles using random Quasi Monte Carlo

Predictive information multiagent deep reinforcement learning for automated truck platooning control

A predictive information multiagent soft actor–critic (PI-MASAC) control framework is proposed for a human-leading automated heavy-duty-truck platoon.

Renzong Lian, Zhiheng Li, Boxuan Wen, Junqing Wei, 张嘉玮, Li Li

Predictive information multiagent deep reinforcement learning for automated truck platooning control

Self-organized routing for autonomous vehicles via deep reinforcement learning

Self-organized routing strategy based on deep reinforcement learning (DRL).

Huaxin Pei, 张嘉玮, Yi Zhang, Huile Xu, Li Li

Self-organized routing for autonomous vehicles via deep reinforcement learning

Task-driven controllable scenario generation framework based on AOG

This paper propose a task-driven controllable scenario generation framework that can generate scenarios with the consideration of the driving behavior of Surrounding Vehicles (SVs) in a controllable manner.

Jingwei Ge, 张嘉玮, Cheng Chang, Yi Zhang, Danya Yao, Li Li