With the development of intelligent vehicle technology, many studies have been focused on
developing human-like trajectory planning methods for automated driving systems. Although …

The ultimate goal of self-driving technologies is to offer a safe and human-like driving
experience. As one of the most important enabling functionalities, trajectory planning has …

In the coming decades, it is a universal consensus that autonomous vehicles (AVs) and
human-driven vehicles will share the traffic roads. Trajectory planning of AVs has been …

Trajectory planning has generally been framed as finding the lowest cost one from a set of
trajectory candidates, where the cost function has been hand-crafted with carefully tuned …

The selection of trajectory and speed is a crucial factor in automobile driving behavior.
However, almost all the research objects of existing Driver models are developed for driving …

Lane-changing is a critical issue for autonomous vehicles (AVs), especially in complex
environments. In addition, different drivers have different handling preferences. How to …

Driving in a human-like manner is important for an autonomous vehicle to be a smart and
predictable traffic participant. To achieve this goal, parameters of the motion planning …

Prior autonomous navigation systems focused on the demonstration of the technological
feasibility. But as the technology evolves, improving user experience through learning …

Trajectory prediction of the ego vehicle is necessary for the cooperation driving of intelligent
vehicles and drivers. Methods based on deep learning can fit complex functions, but they …

This article describes a human-like automated lane-changing system to mimic the lane-
changing maneuver of human drivers in order to make automated vehicles more realistic. In …