Hyundai Motor Group develops world’s First Smart Cruise Control technology

&NewLine;<p>Hyundai Motor Group announced the development of the world’s first Machine Learning based Smart Cruise Control &lpar;SCC-ML&rpar;&comma; a technology that incorporates the driver’s patterns into its self-driving behavior&comma; creating a custom experience for the driver&period; This technology&comma; according to a statement from Kia Media Team &comma; made available to OpenLife&comma;  is  an industry first&period; It incorporates artificial intelligence &lpar;AI&rpar; within the Advanced Driver Assistance System &lpar;ADAS&rpar; feature&period; The system is planned for implementation in future Hyundai Motor Group vehicles&period;<br> &OpenCurlyDoubleQuote;The new SCC-ML improves upon the intelligence of the previous ADAS technology to dramatically improve the practicality of semi-autonomous features&comma;” said Woongjun Jang&comma; VP at Hyundai Motor Group&period; &OpenCurlyDoubleQuote;Hyundai Motor Group will continue the development efforts on innovative AI technologies to lead the industry in the field of autonomous driving&period;”<br> Smart Cruise Control &lpar;SCC&rpar; enables an essential self-driving feature and core technology for ADAS&colon; maintaining distance from the vehicle ahead while traveling at the speed selected by the driver&period;<br> SCC-ML combines AI and SCC into a system that learns the driver’s patterns and habits on its own&period; Through machine learning&comma; Smart Cruise Control autonomously drives in an identical pattern as that of the driver&period;<br> In order to operate the previous Smart Cruise Control&comma; the driver manually adjusted driving patterns&comma; such as the distance from the preceding vehicle and acceleration&period; It was impossible to meticulously fine-tune the settings to accommodate the diver’s individual preferences without machine learning technology&period;<br> For instance&comma; even the same driver may accelerate differently in high-speed&comma; mid-speed and low-speed environments depending on circumstance&comma; but detailed fine-tuning was not available&period; Therefore&comma; when Smart Cruise Control was activated and the vehicle operated differently than they prefer&comma; drivers&comma; sensed the difference&comma; resulting in a reluctance to use the technology because it made them feel anxious and unstable&period;<br> Hyundai Motor Group’s independently developed SCC-ML operates as follows&colon; First&comma; sensors&comma; such as the front camera and radar&comma; constantly acquire driving information and send it to the centralized computer&period; The computer then extracts relevant details from the gathered information to identify the driver’s patterns&period; An artificial intelligence technology called machine learning algorithm is applied during this process&period;<br> The driving pattern can be categorized into three parts&colon; distance from preceding vehicles&comma; acceleration &lpar;how quickly it accelerates&rpar;&comma; and responsiveness &lpar;how quickly it responds to driving conditions&rpar;&period; In addition&comma; driving conditions and speeds are considered as well&period;<br> For instance&comma; maintaining a short distance from the preceding vehicle during slow&comma; city driving&comma; and further away when driving in the fast lane&period; <&sol;p>&NewLine;&NewLine;&NewLine;&NewLine;<p>Considering&NewLine;these various conditions&comma; SCC-ML makes analysis to distinguish over 10 thousand&NewLine;patterns&comma; developing a flexible Smart Cruise Control technology that can adapt&NewLine;to any driver’s patterns&period;<br>&NewLine;The driving pattern information is regularly&NewLine;updated with sensors&comma; reflecting the driver’s latest driving style even as &nbsp&semi;SCC-ML is programmed specifically to avoid&NewLine;learning unsafe driving patterns&comma; increasing its reliability and safety&period;&nbsp&semi;<br>&NewLine;With upcoming Highway Driving Assist system that&NewLine;features automatic lane change assist&comma; SCC-ML achieves Level 2&period;5&NewLine;self-driving&period;&nbsp&semi;<&sol;p>&NewLine;