Hyundai has developed a machine learning-based cruise control system that teaches driverless cars how to drive more like us.
Through machine learning, autonomous vehicles are able to drive in an identical manner to that of a human driver.
The new system incorporates a driving patterns into its self-driving behaviour, creating a custom experience for the driver.
The technology, an industry first, incorporates artificial intelligence (AI) within the Advanced Driver Assistance System (ADAS) feature.
Previously, when Smart Cruise Control was activated and the vehicle operated differently to the way preferred, drivers were able to sense the difference, and as a result were reluctant to use the technology.
It made them feel anxious and unstable.
Under the new system, however, sensors such as the front camera and radar, constantly acquire driving information and send it to a centralised computer.
The computer then extracts relevant details from the gathered information to identify driving patterns.
An artificial intelligence technology called machine learning algorithm is applied during this process.
Driving patterns can be categorised into three parts: distance from preceding vehicles, acceleration (how quickly it accelerates), and responsiveness (how quickly it responds to driving conditions).
In addition, driving conditions and speeds are also taken into account — for example, maintaining a short distance from the preceding vehicle during slow, city driving, and further away when driving in the fast lane.
SCC-ML analyses this information to distinguish over 10 thousand patterns, developing a flexible Smart Cruise Control technology that can adapt to any driver’s patterns.