Self-Driving -- the Problem of Vanishing Cyclists and Pedestrians
An Anonymous Coward offers the following story:
Here's yet another reason that (assuming the article is correct) current self-driving technology has a long ways to go before it is ready for large-scale roll out in urban areas.
One particularly vexing problem for autonomous driving systems is how to deal with situations where sensors lose sight of other road users. For example, a cyclist dropping out of view behind a car or other obstruction.
Now, researchers at Orebro University in Sweden say they have developed an AI application that can account for such occurrences. "We have succeeded in developing a new way for self-driving vehicles to understand and explain the dynamics of our world just like people do," said Mehul Bhatt, professor of computer science at the university.
[...] The researchers noted that in traffic, humans are used to constantly anticipating what will happen next. This reasoning ability is something that current self-driving vehicles and AI systems in general are lacking. In the study, Bhatt, together with colleagues in Germany and India, stated that combining modern neural learning with common-sense reasoning can overcome some of these pitfalls. "The developed AI method results in self-driving vehicles learning to understand the world much like humans. With understanding also comes the ability to explain decisions," added Bhatt.
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