We present AutonoVi, a novel algorithm for autonomous vehicle navigation that supports
dynamic maneuvers and integrates traffic constraints and norms. Our approach is based on …

This paper presents the design and first test on a simulator of a vehicle trajectory-planning
algorithm that adapts to traffic on a lane-structured infrastructure such as highways. The …

This paper presents a practical trajectory planning framework towards fully autonomous
driving in urban environments. Firstly, based on the behavioral decision commands, a …

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

In this paper we present a trajectory generation method for autonomous overtaking of static
obstacles in a dynamic urban environment. In these settings, blind spots can arise from …

In this paper, we present a motion planning algorithm for autonomous navigation in highly
constrained urban environments. Since common approaches to on-road trajectory planning …

The vision of autonomous driving is piecewise becoming reality. Still the problem of
executing the driving task in a safe and comfortable way in all possible environments, for …

Autonomous driving in urban environments depends on the ability to interpret the current
situation and to react accordingly. This means to continuously make decisions for certain …

This paper presents a framework for fast and robust motion planning designed to facilitate
automated driving. The framework allows for real-time computation even for horizons of …

Intelligent vehicles have increased their capabilities for highly and, even fully, automated
driving under controlled environments. Scene information is received using onboard …