Artificial Intelligence: The Algorithm as a Chaffeur

What about AI? Just like humans, AI can draw conclusions from circumstantial evidence: The speed of the other vehicle, the position of the wheels, the driver's line of vision – they all indicate a deviation from the thousands of vehicles that actually drove out of the roundabout when they set the turn signal. Conclusion: This one car will not turn despite the turn signal being on. While a conventional software would turn into the roundabout and cause a collision, AI will brake. Once the algorithms have been "trained" well enough, they detect such hazards even more precisely and reliably than humans, and react more quickly. After all, depending on concentration and mood, even the most experienced driver can be distracted from time to time.

An important aspect for autonomous driving is therefore the training of AI systems. This is also accompanied by the major challenge of validation: How can a system designed to solve problems that arise unexpectedly be tested? Virtual training and software-in-the-loop methods will make a contribution to overcoming this hurdle soon.