The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
Martin Riedmiller, Michael Montemerlo, Hendrik Dah...
This paper discusses the simulation of vehicle kinematics with SimVis3D and the Newton Game Dynamics Engine. As running example a Pioneer1 like robot is used. First its differenti...
Motivation – This paper is based on a research project which examines the way car drivers and automated devices cooperate to achieve lateral control of a vehicle. A theoretical ...
Cellular automata (CA) are discrete dynamic systems that have been used for modeling many physical systems. CA are often used as an alternative to model and solve large-scale syst...
Gianluigi Folino, Giuseppe Mendicino, Alfonso Sena...
Object tracking typically relies on a dynamic model to
predict the object’s location from its past trajectory. In
crowded scenarios a strong dynamic model is particularly
impo...