Existing studies on autonomous driving methods focus on the fusion of onboard sensor data.
However, the driving behavior might be unsteady because of the uncertainties of …

Accurate localization on the autonomous driving cars is essential for autonomy and driving
safety, especially for complex urban streets and search-and-rescue subterranean …

针对现有智能车辆轨迹规划方法在结构化道路中, 高速场景中因均匀采样产生的计算时间浪费
问题, 提出一种基于采样区域优化的轨迹规划方法. 该方法综合考虑道路环境信息和障碍物信息 …

In complex driving scenarios, automated vehicles should behave reasonably and respond
adaptively with high computational efficiency. In this paper, a computational efficient motion …

Autonomous vehicles (AVs) are at the heart of academic and industry research because of
various advantages such as safety improvement, lower energy and fuel consumption …

This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

The development of connected and automated vehicles (CAVs) presents a great opportunity
to extend the current range of vehicle vision, by gathering information outside of its sensors …

A driver-vehicle-road (DVR) model based on kinematic vehicle model is proposed in this
paper. In this DVR model, the kinematics vehicle-road model is adopted, and the driver …

This paper investigates an integrated traffic environment modeling and model predictive
control (MPC) system to realize interaction-aware dynamic motion planning of an …

To resolve the issues of traffic fatality and congestion in modern transportation systems, this
paper proposes a novel hierarchical flocking control framework for multiple connected and …