Hybrid Cognitive Computing for Enabling Automated Driving

Automated driving systems are highly integrated AI systems, and also a hotspot of research in recent years. In general, driving decisions are time-sensitive, and in certain circumstances, latencies could prove fatal affecting the transition between different levels of driving automation. In this respect, the present study aims to tackle exactly this challenge on how hybrid cognitive intelligence enables automated driving systems to respond quickly to changing situations. As such, a cognitive functionality is proposed by operating on the basis of collecting information from various sources, intelligently processing it, integrating knowledge and experience and, finally, selecting the optimal level of autonomy.