This article describes the design, implementation, and evaluation of an active lane change
control algorithm for autonomous vehicles with human factor considerations. Lane changes …

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 focuses on the problem of trajectory planning in an autonomous guidance
application for one-way, two-lane roads. The problem is formulated in a receding horizon …

Adverse weather conditions and occlusions in urban environments result in impaired
perception. The un-certainties are handled in different modules of an automated vehicle …

This paper presents a novel cooperative-driving prediction and planning framework for
dynamic environments based on the methods of game theory. The proposed algorithm can …

Current research on advanced driver-assistance systems (ADASs) addresses the concept of
highly automated driving to further increase traffic safety and comfort. In such systems …

By observing their environment as well as other traffic participants, humans are enabled to
drive road vehicles safely. Vehicle passengers, however, perceive a notable difference …

Motion planning algorithms for urban automated driving must handle uncertainty due to
unknown intention and future motion of Dynamic Obstacles (DOs). Considering a single …

The development of automated vehicles brings new challenges to road safety. The behavior
of the automated vehicles should be carefully designed in order to interact with the …

Sampling, generation, and evaluation of scenarios are essential steps for intelligent testing
of autonomous vehicles. Since uncertainty in driving behavior always leads to different …