Considering that human-driven vehicles and autonomous vehicles (AVs) will coexist on
roads in the future for a long time, how to merge AVs into human drivers' traffic ecology and …

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

This paper presents a segmented trajectory planning strategy for active collision avoidance
system. Considering the longitudinal and lateral movement of the obstacle vehicle, as well …

Motion planning for autonomous vehicles becomes more challenging when both driver
comfort and collision risk are considered. To overcome this challenge, a human-like motion …

As automated driving technology continues to advance, the question of how users prefer to
be driven in their new, more passive role is becoming increasingly relevant. In this paper, a …

Diverse passengers have various driving habits and driving preferences, thus the function of
personalized driving is one of the most important features for autonomous vehicles (AVs). In …

In this paper, a human-like driving system is designed for autonomous vehicles (AVs), which
aims to make AVs better integrate into the human transportation systems and mitigate …

There may exist long-term mixed traffic that consists of human-driven vehicles (HDV) and
autonomous driving vehicles (ADV). Hence, a formidable challenge arises: the effective …

The complexity and changefulness of inland navigation environment in space and time
makes it hard to guarantee the applicability and accuracy of existing ship speed models. In …

Collision avoidance at unsignalized intersections is critical to autonomous vehicle
technology. Our work addresses the challenging problem of online speed planning along a …