… survey of artificially intelligent autonomous vehicles. This paper presents holistic views of
an artificially intelligent vehicle, the different methods adopted like a neural network, fuzzy logic…

… the competence of the safety algorithm in the self-driving cars. … various driving styles to
examine the machine learning and the artificial intelligence algorithms involved in the behavior of …

… the self-driving vehicles simpler and more cost-effective. Simple artificial neural network, like
the one presented in this paper, is enough for relatively complex process like lane keeping. …

… artificial intelligence ( AI ) has truly stimulated the development and deployment of autonomous
vehicles … To achieve goal of full automation ( ie, self-driving ( , it is important to know how …

… It processes the data very fast with iterative processing through the intelligent algorithms,
which allow the software to learn from features or patterns of the data. AI has become more …

… autonomous car … algorithms, hardwares and softwares used to implement one or more
features of automation individually. So our aim is to pick the best suited hardwares and algorithms …

… Google Translate creates the image processing system in the translation application by
machine learning and artificial neural network algorithms. Google Translate’s camera-to-camera …

… driverless or self-driving car, is an autonomous vehicle capable of fulfilling the human
transportation capabilities of a traditional car [3]. As an … Effective control algorithms for autonomous …

… : Safety, Artificial Intelligence and Autonomous Vehicle. Many … “artificial intelligence” and
“autonomous vehicle”. Therefore, … : A prototype autonomous vehicle and its algorithms for lane …

… The present study focused on the Tactical and the Operational levels of autonomous vehicle
… In Section 4, we describe our application of Logical Artificial Intelligence, which is based on …