Nissan showcases Brain-to-Vehicle technology

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At CES 2018 in Las Vegas, Nissan showcased a technology that will enable vehicles to interpret signals from the driver’s brain.

The company’s Brain-to-Vehicle, or B2V, technology promises to speed up reaction times for drivers and will lead to cars that keep adapting to make driving more enjoyable.

“When most people think about autonomous driving, they have a very impersonal vision of the future, where humans relinquish control to the machines. Yet B2V technology does the opposite, by using signals from their own brain to make the drive even more exciting and enjoyable,” said Nissan Executive Vice President Daniele Schillaci. “Through Nissan Intelligent Mobility, we are moving people to a better world by delivering more autonomy, more electrification and more connectivity.”

Nissan’s researchers use what they call “brain decoding technology” to predict a driver’s actions and detect discomfort:

Predict: By catching signs that the driver’s brain is about to initiate a movement – such as turning the steering wheel or pushing the accelerator pedal – driver assist technologies can begin the action more quickly. This can improve reaction times and enhance manual driving.

Detect: By detecting and evaluating driver discomfort, artificial intelligence can change the driving configuration or driving style when in autonomous mode.

Other possible uses include adjusting the vehicle’s internal environment, said Dr. Lucian Gheorghe, senior innovation researcher at the Nissan Research Center in Japan, who’s leading the B2V research. For example, the technology can use augmented reality to adjust what the driver sees and create a more relaxing environment.

“The potential applications of the technology are incredible,” Gheorghe said. “This research will be a catalyst for more Nissan innovation inside our vehicles in the years to come.”

Nissan claims the B2V technology to be the world’s first system of its kind. The driver wears a device that measures brain wave activity, which is then analyzed by autonomous systems. By anticipating intended movement, the systems can take actions – such as turning the steering wheel or slowing the car – 0.2 to 0.5 seconds faster than the driver, while remaining largely imperceptible.