This technology is the result of research into using brain decoding technology to predict a driver’s actions and detect discomfort. This technology offers two key benefits:
- It enhances driver performance, enabling them to reach their full driving potential, while maintaining control
- It provides real-time personalization of Autonomous Drive mode and other functions - this has never been achieved before
The technology's functions are explained below.
Predict: When in manual driving mode, by identifying 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 improves reaction time and makes driving more enjoyable.
For example, on mountain roads where there are lots of tight corners, drivers can easily keep their car under control, therefore helping them drive better and with more confidence. The system even enables highly skilled drivers to outperform their usual high standards on such winding roads.
Detect: In autonomous driving mode, by detecting and evaluating driver discomfort, the artificial intelligence can alter the driving configuration or driving style to make the driver feel at ease.
If a driver prefers his/her car to drive in the faster lane down a stretch of highway, after a few turns, the autonomous drive system will pick up this pattern, and drive in a way that aligns with his/her expectations, while still keeping a safe distance from the vehicle in front of him/her.
Nissan Brain-to-Vehicle technology provides the world's first system for real-time detection and analysis of brain activity relating to driving. It includes activity in advance of intentional movement (e.g. steering), known as movement-related cortical potential (MRCP), and activity that reveals the variance between what the driver expects and what they are experiencing (e.g. car moving too fast for comfort), known as error-related potentials (ErrP).
This brainwave activity is measured using a skullcap worn by the driver and analyzed and interpreted for immediate implementation by onboard autonomous systems. By anticipating intended movement, systems can engage (turning the steering wheel or slowing the car) 0.2 to 0.5 seconds faster than the average human response time, improving reaction times while being largely imperceptible for the driver.
Source: Nissan Global