Despite rapid advances in vehicle intelligence and connectivity, there is still a significant
period in mixed traffic where connected, automated vehicles and human-driven vehicles …

Safe and human‐like trajectory planning is crucial for self‐driving cars. While model‐based
planning has demonstrated reliability, it is beneficial to incorporate human demonstrations …

In this work, we present a decision-making system for automated vehicles driving in highway
environments. The task is modeled as a Partially Observable Markov Decision Process, in …

As autonomous technologies in ground vehicle application begin to mature, there is a
greater acceptance that they can eventually exhaust human involvement in the driving …

This paper considers the problem of optimal trajectory generation for autonomous driving
under both continuous and logical constraints. Classical approaches based on continuous …

State of the art emergency brake assistant systems solely based on sensor measurements
reduced the number of traffic accidents and casualties drastically in recent years. In order to …

Off-ramp diverging road segment is the preparation area for vehicles driving away from the
freeway, while it causes more traffic conflicts making it a typical safety bottleneck. Focusing …

In this paper, we propose a novel planning framework that can greatly improve the level of
intelligence and driving quality of autonomous vehicles. A reference planning layer first …

Driving in unsignalized intersections poses significant challenges for autonomous vehicles,
as various uncertainties are involved. On one hand, behaviors of vehicles in the observable …

Devising planning algorithms for autonomous driving is non-trivial due to the presence of
complex and uncertain interaction dynamics between road users. In this paper, we introduce …