Deep learning crucial for the global success of automotive autonomy

For the application of artificial intelligence (AI) in vehicles, a human-like level of intelligence is required in order for consumers to be willing to sacrifice partial or even total control of a vehicle, in spite of the fact that most vehicle-related incidents are caused by human error. Deep learning (DL) uses algorithms that enable the software to independently make decisions based on the contextualisation of gathered data.