In a human-driven auto, the so-called brain-to-vehicle technology could shorten reaction times.
Nissan will show off the technology with simulators at the nerdy 2018 Consumer Electronics Show in Las Vegas.
Nissan's research into brain decoding technology enables breakthroughs in predicting the driver's actions and detect discomfort, with two key stages. If the driver detects a scenario that requires the vehicle to brake, accelerate or turn the steering wheel, the system can send the brain signals to the auto. To comfort the driver, the system can switch the car's driving style when it's in autonomous mode or create an augmented reality inside the cabin.
The system can also be used to adjust the vehicle's internal environment.
The driver still turns the wheel or hits the gas pedal, however the automobile expects those movements and starts the actions 0.2 seconds to 0.5 seconds faster, stated Lucian Gheorghe, a senior innovation researcher at Nissan managing the project.More news: Selena Gomez and Justin Bieber's New Year's Eve Together: What We Know
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Driver discomfort would also be monitored and managed by the system, using artificial intelligence.
The automaker says that, by anticipating such movements, the vehicle can shave anything from 0.2 to 0.5 seconds off the usual, unassisted reaction time. It will be a AI based system that learns from your brain waves patterns and in the future can predict how the vehicle should react to your intentions.
The tech requires the driver to wear a device that measures brain wave activity.
B2V is the latest development in Nissan Intelligent Mobility, which is the automaker's ongoing vision of how vehicles will be driven, powered, and integrated into society in the future. "By synchronising the support of the AD (autonomous driving) with your own actions you will always feel that you are in control and driving perfectly", he added.
"Through Nissan Intelligent Mobility, we are moving people to a better world, by delivering more autonomy, more electrification and more connectivity", Schillaci added. "This research will be a catalyst for more Nissan innovation inside our vehicles in the years to come".