… , evolutionary algorithms for artificial intelligence (AI) and machine learning are embedded in
autonomous cars… Most of the autonomous car processing and control systems are based on …

… The evolutionary scenario is the one often pursued by the automotive … looking to capitalize
on autonomous driving technology. The whole concept of the vehicle and the autonomous …

Artificial intelligence (AI) has evolved rapidly in recent years, transforming several industries
and reshaping cultural norms. This article examines the current state of AI technology, …

In this paper, we review technologies for autonomous ground … -based autonomous behavior
that enables fully autonomous … they contribute to the needs of autonomous cars on the road …

… be discarded by other developers who might be looking for ontologies to reuse for their work
[2]. … of the OBO foundry ontologies and their evolution using OQuaRE. Stud. Health Technol. …

… the software-hardware co-evolution to the current stage. … finite look-ahead trajectories to
maximize the progress of the car… to find indications where the autonomous car fails to meet the …

Do citizens, media and policymakers share the same view on autonomous cars? In the
present paper, we analyse data from media articles, a Eurobarometer survey, and policy …

… The evolution of deep learning and convolutional neural … As we will show in this paper, a
level five autonomous car can … is essential to look at how current challenges in self-driving car …

… , autonomous driving has gone from “may be possible” to “inevitable”. Beyond safer and more
enjoyable routes for passengers, the autonomous car … that this evolution imposes will have …

… Autonomous Vehicles, evolution stages from early cars to … the self-driving cars to find the way
and only look at dynamic … , some autonomous car features already exist and cars with these …