This paper proposes a novel control architecture for autonomous vehicle driving in a dynamic and uncertain tra c environment. The architecture is composed of three levels: (1) the operational level deals with a reactive control of a vehicle in a short time cycle; (2) the tactical level decides proper maneuvers based on prediction of future states using probabilistic trafc models; (3) the meta-t...

BACKGROUND Central and peripheral vision is needed for object detection. Previous research has shown that visual target detection is affected by age. In addition, light conditions also influence visual exploration. The aim of the study was to investigate the effects of age and different light conditions on visual exploration behavior and on driving performance during simulated driving. METHOD...

Videogame-based competitions have been the target of considerable interest among researchers over the past few years since they provide an ideal framework in which to apply soft computing techniques. One of the most popular competitions is the Simulated Car Racing Competition which, thanks to the realism implemented by recent car simulators, provides an excellent test bed for the application of...

Driving tendency is the comprehensive embodiment of driver’s physiological and psychological characteristics. It reflects driver’s psychological condition during the process of driving. Identification of the driving tendency has great significance to researching of the driver assistant system, especially the active security warning system. In this paper, data from simulative driving and real dr...

Increasing the share of renewable energy used in the transport sector is seen as an important step to globally reduce greenhouse gas emissions. Battery electric vehicles have for a long time been seen as a solution if the electricity is produced by renewable sources, but still suffers from high battery costs and short range issues. As a way to overcome these issues and at the same time keep cur...

In the past decade, significant progress has been made in autonomous driving, and many novel computer vision methods have been proposed for vision-based autonomous driving. To date, most of these systems can be categorized into two major paradigms: mediated perception approaches and behavior reflex approaches. Mediated perception approaches [7] involve multiple sub-components for recognizing dr...

Videogame-based competitions are receiving a lot of interest in the last few years, as they provide an ideal framework to apply soft computing techniques. One the most popular competitions is the Simulated Car Racing Competition and thanks to the realism implemented by recent car simulators, it provides a test framework for the application of autonomous driving techniques. This work presents th...

Autonomous cars: In 2018 the first self‐driving cars will appear for the public. Around 2020, the complete industry will start to be disrupted. You don’t want to own a car anymore. You will call a car with your phone, it will show up at your location and drive you to your destination. You will not need to park it, you only pay for the driven distance and can be productive while driving. Our kid...

In this paper a novel method for car racing controller learning is proposed. Car racing simulation is an active research field where new advances in aerodynamics, consumption and engine power are modelled and tested. The proposed approach is based on Neural Networks that learn the driving behaviour of other rule-based bots. Additionally, the resulted neural-networks controllers are evolved in o...