No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …

This paper proposes a two-stage trajectory planning method for self-driving vehicles (SDVs)
in intersection scenarios with uncertain social circumstances while considering other traffic …

The aim of this systematic review is to synthesize and analyze virtual simulation and
geospatial mapping tools, computer vision and path planning algorithms, and autonomous …

To improve the safety, comfort, and efficiency of the intelligent transportation system,
particularly in complex traffic environments where autonomous vehicles (AVs) and human …

Merge scenarios on highway are often challenging for autonomous driving, due to its lack of
sufficient tacit understanding on and subtle interaction with human drivers in the traffic flow …

This paper presents a hierarchical and game-theoretic decision-making strategy for
connected and automated vehicles (CAVs). A CAV can receive preview information using …

This research proposes an integrated behavioral and motion planner with proactive right-of-
way acquisition capability. The proposed planner overcomes the shortcomings of …

A core issue of safe human-machine cooperative driving lies in dynamic assessment of the
rapidly evolving driving risks. Given that, this paper proposes a shared controller for safe …

This paper proposes an interaction and safety-aware motion-planning method for an
autonomous vehicle in uncertain multi-vehicle traffic environments. The method integrates …

In public roads, autonomous vehicles (AVs) face the challenge of frequent interactions with
human-driven vehicles (HDVs), which render uncertain driving behavior due to varying …