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 …

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 …

Due to the growing interest in automated driving, a deep understanding on the
characteristics of human driving behavior is critical for human-like autonomous vehicles …

In order to improve the efficiency and comfort of autonomous vehicles while ensuring safety,
the decision algorithm needs to interact with human drivers, infer the most probable …

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 …

To improve the safety and driving stability of the autonomous heavy truck, it is necessary to
consider the differences of driving behavior and drivable trajectories between the heavy …

To make autonomous vehicles consider driver's personalized characteristics, this paper
proposes an integrated model and learning combined (IMLC) algorithm to realize human …

This paper presents a hierarchical trajectory planning based on the integration of a sampling
and an optimization method for urban autonomous driving. To manage a complex driving …

Today the automotive industry faces a robust trend toward assisted and automated driving.
The technology to accomplish this ambition has evolved rapidly over the last few years, and …

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