Tactical maneuver planning is one of the key enablers for automated driving. The
challenges include complex situations in urban areas and the uncertain behavior of other …

As automated vehicles begin operating on complex urban roads, precise decision making
for automated driving has been increasingly important for safe automated driving. In …

Anticipatory planning and experience form the basis of human decision making in road
traffic. Based on this principle, this paper presents an approach for making optimal high …

This paper describes the design and evaluation of a model predictive control algorithm for
automated driving on a motorway using a Vehicle Traffic Simulator. For the development of a …

Lane-change maneuver has always been a challenging task for both manual and
autonomous driving, especially in an urban setting. In particular, the uncertainty in predicting …

In the automotive industry a robust trend towards assisted and automated driving has
evolved during the last years. Although the technology to accomplish this ambition has …

Decision-making and motion planning are two core functionalities of intelligent vehicles. A
novel integrated decision-making and planning framework is presented for real-time and …

Recently, automated driving has more and more been transformed from an exciting vision
into hands on reality by prototypes. While drivers are used to assistance and maybe even …

This paper addresses the trajectory planning problem for autonomous vehicles in traffic. We
build a stochastic Markov decision process (MDP) model to represent the behaviors of the …

There are still some problems need to be solved though there are a lot of achievements in
the field of automatic driving. One of those problems is the difficulty of designing a decision …