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Nissan unveils Brain-to-Vehicle technology

Nissan has unveiled research that will enable vehicles to interpret signals from the driver’s brain, redefining how people interact with their cars. 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.

Nissan will demonstrate capabilities of this exclusive technology at the CES 2018 trade show in Las Vegas. B2V is the latest development in Nissan Intelligent Mobility, the company’s vision for transforming how cars are driven, powered and integrated into society.

“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.”

This breakthrough from Nissan is the result of research into using 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, for example, the technology can use augmented reality to adjust what the driver sees and create a more relaxing environment.

Nissan’s B2V technology is 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.

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