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

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 …

Generating safe and non-conservative behaviors in dense, dynamic environments remains
challenging for automated vehicles due to the stochastic nature of traffic participants' …

Autonomous driving decision-making is a challenging task due to the inherent complexity
and uncertainty in traffic. For example, adjacent vehicles may change their lane or overtake …

With the rapid development of the internet of things (IoT), connected vehicles are set to
become a huge industry over the next few years. In this study, we take an investigation of the …

Trajectory planning in the intersection is a challenging problem due to the strong uncertain
intentions of surrounding agents. Conventional methods may fail in some corner cases …

Safety is one of the major concerns in autonomous driving tasks, and enhancing the
collision avoidance ability of connected and autonomous vehicles (CAVs) is an effective way …

Autonomous driving is a challenging problem because the autonomous vehicle must
understand complex and dynamic environment. This understanding consists of predicting …

This paper proposes an overall Multi-Controller Architecture (MCA) for safe and flexible
navigation of autonomous navigation, under uncertainties in highway use-cases. In addition …

Cooperative intelligent transportation systems (ITS) are used by autonomous vehicles to
communicate with surrounding autonomous vehicles and roadside units (RSU). Current C …