The story of making self-driving cars goes back to the early 20th of the last century. First trials began in the 50th. In almost the same time first ideas were launched about the design of an artificial intelligence. Alan Turing expressed already in 1947 the idea to make a machine that can learn from experience by training a network of artificial neurons. However, the Dartmouth Workshop organized by John McCarthy is credited with introducing the term „artificial intelligence AI“. Since this time both the making of self-driving cars and AI based technologies have experienced several ups and downs. Nowadays AI is considered as a key enabler for the construction and the operation of self-driving cars. In this paper we review the challenges and the state of the art of self-driving cars, the evolution and current state of AI technologies, and the risks of using AI for operating self-driving cars. Toyotas Gill Pratt mentioned already in 2017 „The idea that only the chauffeur mode of autonomy, where the car drives for you, that that’s the only way to make the car safer and to save lives, that’s just false…There are tremendous numbers of ways to support a human driver.” Keeping this focus on driver assistance systems in mind, we are discussing opportunities on how advanced optical sensors can help to reduce the risks of self-driving cars, especially in unfavorable visual and weather conditions.
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