Abstract
The articles in this special section focus on intelligent automobiles. The automotive industry is is experiencing disruptive changes at all levels—from design, and production, to community and business models. A previously rigid and very closed business environment is forced to open and embrace new methods to survive. In particular, it has become clear that a previously strongly deterministic approach has to be replaced with flexible adaptive approaches. This opened a path to new methods, which are reportedly necessary to bring the industry to the ultimate goal—driverless vehicles in any driving condition. The artificial intelligence (AI) has a significant role in this development, but it has not reached the full potential yet due to rigorous requirements that automotive-grade outputs need to satisfy. Nevertheless, an access to a paramount source of data has pushed AI methods to front rows, while all other processing methods are grouped in the “pre-AI era,” or even labeled as “vintage methods.”
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