This thesis presents a behavior planning algorithm for automated driving in urban environments with an uncertain and dynamic nature. The uncertainty in the environment arises by the fact that the intentions as well as the future trajectories of the surrounding drivers cannot be measured directly but can only be estimated in a probabilistic fashion. Even the perception of objects is uncertain due to sensor noise or possible occlusions. When driving in such environments, the autonomous car must predict the behavior of the other drivers and plan safe, comfortable and legal trajectories. Planning such trajectories requires robust decision making when several high-level options are available for the autonomous car. Current planning algorit...
Autonomous vehicles have the potential to drastically improve the safety, efficiency and cost of tra...
Autonomous vehicles need to perform social accepted behaviors in complex urban scenarios including h...
The presented dissertation addresses the problem of risk evaluation and behavior planning for future...
This work presents a behavior planning algorithm for automated driving in urban environments with an...
This work presents a behavior planning algorithm for automated driving in urban environments with an...
This thesis is framed within the area of intelligent control systems and automation. The main object...
Autonomous driving is one of the popular and advanced research fields aiming to reduce the mortality...
Inevitably, autonomous vehicles need to interact with other road participants in a variety of highly...
In this review, we provide an overview of emerging trends and challenges in the field of intelligent...
This thesis targets the problem of motion planning for automated vehicles. As a prerequisite for the...
In this paper we show how rule-based decision making can be combined with traditional motion plannin...
Decision-making is a crucial challenge on the way to fully autonomous systems. In real world tasks, ...
Autonomous vehicle technology is a promising development for improving the safety, efficiency and en...
One of the most crucial links to building an autonomous system is the task of decision making. The a...
The ability to interact with other road participants is essential for autonomous vehicles in order t...
Autonomous vehicles have the potential to drastically improve the safety, efficiency and cost of tra...
Autonomous vehicles need to perform social accepted behaviors in complex urban scenarios including h...
The presented dissertation addresses the problem of risk evaluation and behavior planning for future...
This work presents a behavior planning algorithm for automated driving in urban environments with an...
This work presents a behavior planning algorithm for automated driving in urban environments with an...
This thesis is framed within the area of intelligent control systems and automation. The main object...
Autonomous driving is one of the popular and advanced research fields aiming to reduce the mortality...
Inevitably, autonomous vehicles need to interact with other road participants in a variety of highly...
In this review, we provide an overview of emerging trends and challenges in the field of intelligent...
This thesis targets the problem of motion planning for automated vehicles. As a prerequisite for the...
In this paper we show how rule-based decision making can be combined with traditional motion plannin...
Decision-making is a crucial challenge on the way to fully autonomous systems. In real world tasks, ...
Autonomous vehicle technology is a promising development for improving the safety, efficiency and en...
One of the most crucial links to building an autonomous system is the task of decision making. The a...
The ability to interact with other road participants is essential for autonomous vehicles in order t...
Autonomous vehicles have the potential to drastically improve the safety, efficiency and cost of tra...
Autonomous vehicles need to perform social accepted behaviors in complex urban scenarios including h...
The presented dissertation addresses the problem of risk evaluation and behavior planning for future...