“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,” said researcher Mehul Bhatt from Örebro University in Sweden.
One example of how the new system is claimed to be superior is the ability to recognise that a cyclist hidden behind a car for a few seconds still exists until it reappears.
The approach enables self-driving vehicles to demonstrate a wide range of similar human-like common-sense capabilities which have not been achievable in self-driving vehicles or other AI technologies that are based on machine learning alone.
“Our method lets a self-driving vehicle understand a course of events, in this case, that visibility is blocked by a car and that after the car has passed, the cyclist will be visible again,” Bhatt said.
“This level of understanding is essential for self-driving vehicles to be traffic-ready under different driving...