Aim and Scope

While automated vehicle are ready to evolve in restricted and dedicated areas, autonomous vehicles are still facing difficulties to sense, interpret and decide their actions when facing situations in different environments. Various environments concern offroad environment, shared environment, crowdy and human populated environment, Among the difficulties, the first one is to succeed in the task to sense and interpret the scene in order to be aware about the situation and its evolution. The second one is to deal with the uncertainty of modelling, sensing, interpretation in decision and control. The third one is to take into account human behavior as manual drivers, pedestrians or human using new electric mobility system. The most challenging is to the understand and incorporate the changes in the environment for long term and safe navigation. With the recent revival of Artificial Intelligence (AI), Data and Model driven approaches and algorithms offer the new opportunity to develop autonomous vehicles by improving their perception, Decision and control. This special issue aims to present the recent advances in Artificial Intelligence, Modelling, Perception, Decision and Control for extending the autonomy of robots. This is an opportunity to gather researchers in developing fundamental principles to discuss and share original research works and practical experiences.