Collision-free movement of an autonomous vehicle using reinforcement learning | Proceedings
of the 10th European conference on Artificial intelligence skip to main content ACM Digital …

Autonomous driving has gained an increased interest in both academia and industry, as
autonomous vehicles (AVs) significantly improve road safety by reducing traffic accidents …

The driving behavior of autonomous vehicles has a significant impact on safety for all traffic
participants. Unlike current traffic participants, autonomous vehicles in the future will also …

Complex and high-computational-cost algorithms are usually the state-of-the-art solution for
autonomous driving cases in which non-holonomic robots must be controlled in scenarios …

The main topic of this thesis is tactical decision-making for autonomous driving. An
autonomous vehicle must be able to handle a diverse set of environments and traffic …

While driving a vehicle safely at its handling limit is essential in autonomous vehicles in
Level 5 autonomy, it is a very challenging task for current conventional methods. Therefore …

Driving requires the ability to handle unpredictable situations. Since it is not always possible
to predict an impending danger, a good driver should preventively assess whether a …

Human mistakes in traffic often have terrible consequences. The long-awaited introduction
of self-driving vehicles may solve many of the problems with traffic, but much research is still …

Autonomous Obstacle Avoidance for Off-Road Vehicles | Intelligent Autonomous Systems 2, An
International Conference skip to main content ACM Digital Library home ACM home Google …

Collision avoidance systems can play a vital role in reducing the number of accidents and
saving human lives. In this paper, we introduce and validate a novel method for vehicles …