The world of driving technology is getting so advanced that manufacturers all over the world are practically racing to create the best features to take your driving experience to a whole new level. Hyundai is one of these corporate giants to develop the world’s first Machine Learning based Smart Cruise Control or SCC-ML.
In other words, it’s a combination of Artificial Intelligence (AI) and their Advanced Driver Assistance System (ADAS) feature. What it does is basically ‘learn’ the driver’s driving patterns and incorporate them into its own self-driving behaviours to create a ‘custom experience for the driver.’ In simpler terms, its new cruise control is super smart and hella dope.
According to Woongjun Jang, Vice President of Hyundai Motor Group, “The new SCC-ML improves upon the intelligence of the previous ADAS technology to dramatically improve the practicality of semi-autonomous features. Hyundai Motor Group will continue the development efforts on innovative AI technologies to lead the industry in the field of autonomous driving.”
SCC-ML combines AI and SCC into a system that learns the driver’s patterns and habits on its own. Through machine learning, Smart Cruise Control autonomously drives in an identical pattern as that of the driver. These are all done using sensors like the front camera and radar to send information to the internal computer so that the AI can start applying its own algorithm into the mix.
Hyundai Motor Group’s independently developed SCC-ML operates as follows: First, sensors, such as the front camera and radar, constantly acquire driving information and send it to the centralized computer. The computer then extracts relevant details from the gathered information to identify the driver’s patterns. An artificial intelligence technology called machine learning algorithm is applied during this process.
With upcoming Highway Driving Assist system that features automatic lane change assist, SCC-ML achieves Level 2.5 self-driving. In short, it’s going to offer a much safer driving experience by considering all of the factors while on the road and also how the driver operates the vehicles. It would be interesting to see how the system works in real driving conditions.
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