In this paper, we consider the problem of autonomous lane changing for self driving vehicles
in a multi-lane, multi-agent setting. We present a framework that demonstrates a more …

Autonomous driving is a multi-agent setting where the host vehicle must apply sophisticated
negotiation skills with other road users when overtaking, giving way, merging, taking left and …

Most methods that attempt to tackle the problem of Autonomous Driving and overtaking
usually try to either directly minimize an objective function or iteratively in a Reinforcement …

Lane change is a challenging task which requires delicate actions to ensure safety and
comfort. Some recent studies have attempted to solve the lane-change control problem with …

In this paper, the problem of decision making for autonomous vehicles changing lanes is
addressed by formulating multiple games in normal form for pairs of agents. This formulation …

Lane-free traffic is a novel research domain, in which vehicles no longer adhere to the
notion of lanes, and consider the whole lateral space within the road boundaries. This …

Lane change is a crucial vehicle maneuver which needs coordination with surrounding
vehicles. Automated lane changing functions built on rule-based models may perform well …

In the context of Automated Vehicles, the Automated Lane Change system, is fundamentally
based upon the separate constructs of Perception, Decision making, Trajectory Planning …

Machine learning techniques have been shown to outperform many rule-based systems for
the decision-making of autonomous vehicles. However, applying machine learning is …

Performing safe and efficient lane changes is a crucial feature for creating fully autonomous
vehicles. Recent advances have demonstrated successful lane following behavior using …