A car that can read your mind. That’s what Nissan is claiming to offer with its latest Brain-to-Vehicle technology.
The Japanese car manufacturer reckons that by interpreting signals from the driver’s brain, it can redefine how people interact with their cars.
Most importantly, 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.
Nissan’s B2V technology claims to be the world’s first system of its kind. The driver wears a device that measures brain wave activity, which is then analysed by autonomous systems.
Says Nissan Executive Vice President Daniele Schillaci:
“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.”
Here’s what Nissan claims the technology can do.
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 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.
You can see more information about how Nissan’s Brain-to-Vehicle technology works in this YouTube video below: