 |
| The Hyundai Mobis booth at the Consumer Electronics Show (CES) at the Las Vegas Convention Center, Friday (KST) showcases the company's infotainment systems during the four-day tech fair. / Korea Times photo by Lee Min-hyung |
By Lee Min-hyung
LAS VEGAS -- Global carmakers and auto-parts manufacturers are showcasing their latest achievements in self-driving cars at this year's Consumer Electronics Show (CES).
The developments come as the world's largest technology fair, once regarded as an electronics show, has expanded into areas involving the Internet of Things (IoT), with connected vehicles gaining the limelight as one of the big themes of this year's fair.
Hyundai Mobis, Hyundai Motor's parts and service arm, was in the spotlight for its digital cluster heads-up display that features blind-spot detection, a cross-traffic assist system and a smart matrix beam.
"Under the key theme of ‘driverless car,' we have exhibited next-generation smart infotainment systems at the show," a Hyundai Mobis official said.
"In particular, the point of the digital display is that the integrated cluster collects data from cameras from four sides of a car. Collected data is then used for navigation systems, telematics systems and all other IoT functions."
The company also showcased a state-of-the-art user experience platform, ranging from autonomous emergency braking and cross-traffic assist systems to active blind-spot detection.
Nvidia, a U.S.-based graphics chip maker, has also attracted huge attention from thousands of visitors to the show with its "deep learning-enabling" smart chip.
Deep learning is a type of machine learning that helps computer software make human-like predictions using massive datasets. An increasing number of global IT giants, such as Google and Apple, are betting big on developing the machine learning-based software or infrastructure as their next-generation growth areas. In particular, Google recently partnered with Ford over the development of a driverless car.
"Our own chip is the brain of our self-driving car project," said an Nvidia official. "This is designed to drive a car."
At its booth at the Las Vegas Convention Center, the company showcased four processes -- sensor fusion, perception, localization and path planning -- for a driverless vehicle.
"Sensor fusion is a process to take a lot of information from different sources like the computer system or radar and feed the information into the computer's deep-learning algorithms to enable it to perceive the surrounding environment," the official said.
"Once the computer is aware of the surroundings, it makes decisions and behaves based on the information."
The company said the processes are done by its neural networks -- an artificial brain.
"This is the platform that supports performance requirements for algorithms you need for a self-driving car," said the official, adding that the processes are possible through the use of big data.
![[ANALYSIS] Tesla, BYD's price cuts unnerve LGES, Samsung, SK](https://img.koreatimes.co.kr/upload/thumbnailV2/b1cf8ba68d474cb69352bfe7ea9d14f0.jpg/dims/resize/178/optimize)
![[INTERVIEW] How ATEEZ achieved worldwide success](https://img.koreatimes.co.kr/upload/thumbnailV2/c7723b56dde94eb4b260950d368fe8fb.jpg/dims/resize/178/optimize)
