Throughout the world, people drive in varying ways depending on the country and even at different times of the day. Nissan believes that, for self-driving vehicles to be successful, they need to be able to identify and adapt to local driving patterns and to behave in a similar manner.
Consequently, the Japanese automaker is receiving assistance from sociologists and anthropologists to understand how other road users operate, study pedestrian movements and to analyze traffic patterns.
During Nissan’s recent Futures event, principal scientist and design anthropoligst at Nissan Research Center, Melissa Cefkin said: “There’s an enormous range of differences to how cars move when they drive, and they differ from small towns to city centres and even times of the day. We want to bring in a social lens to help analyse those trends. As humans, we are very good at picking up clues that we take for granted.
“There are patterns that we can perhaps prime into the cars so the systems will be able to interpret the environment. With a social lens, we can do this without relying on miles and decades of technological sensing.”
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