Self-Driving Cars Need to Read Emotions In and Out of the Vehicle

As more and more autonomous vehicles are expected to hit the road in the future, engineers and startups are shifting their focus to technology that could help prevent future self-driving collisions.

Start-up companies like Renovo Auto and Affectiva highlight their work to build a self-driving car system that monitors not only driver attention, but one that can also read passenger and pedestrian facial expressions for a better understanding of the emotions inside and outside the vehicle.

“We spend a lot of time trying to figure out how to sense inanimate objects with LIDAR and cameras, and that’s super important,” Renovo CEO Chris Heiser said. “And companies like Affectiva give us a brand-new data stream to look at and help every single one of the people in our ecosystem — people who building self-driving, people who are building teleoperation, people who are building ride-hailing applications — they all want to know how people are feeling and reacting to these automated vehicles.”

Read the article at The Verge.

The post Self-Driving Cars Need to Read Emotions In and Out of the Vehicle appeared first on Fleet Management Weekly.

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