Applying standard architecture… All controllers are common
ccOS, NVIDIA DRIVE hardware optimization
Establishment of autonomous driving architecture based on integrated controller

Hyundai Motor Group has set up a space to introduce its own vehicle operating system, 'ccOS', and explain its impact on vehicle development and autonomous driving.

Hyundai Motor Group held an online event called 'Unlock the Software Age' on the 12th and announced various contents including 'ccOS', collaboration with Nvidia, and vision for autonomous driving.

■ Development of own vehicle operating system ‘ccOS’

Vice President Cho Kyo-woong said, “In order to efficiently process vehicle data that is growing larger by the day and to control electrical components, a vehicle operating system is needed,” and introduced Hyundai Motor Company’s own vehicle operating system, ccOS (Connected Car Operating System).

▲Hyundai Motor Group Vice President Cho Kyo-woong is giving a presentation.

Vehicles equipped with ccOS are fast It has the characteristics of being able to calculate and process data at speed, being safe, and being able to innovate quickly by developing its own software.

ccOS applies a standard architecture that can be shared across all controllers, enabling rapid response to rapidly changing market demands, and maximizes hardware performance through high-performance computing power.

There are also benefits to vehicle development.

In the past, the functions of vehicle controllers depended on hardware, so adding new functions or improving them required changing both the hardware and software.

By introducing ccOS, which is characterized by standardization and commonality, into vehicles, compatibility has been improved by designing an appropriate hardware architecture.

Additionally, application software can be developed with a structure that is easily reusable and flexibly expandable through the API provided by ccOS.

ccOS consists of three areas.

△ccOS.e (embedded), which controls the embedded field as an operating system for driving performance and electric/electronic controllers △ccOS.a (ADAS), which collects information from sensors in the vehicle to assess the situation and assist in safe driving △ccOS.i (infotainment), which provides content and services by connecting the inside and outside of the vehicle through communication.

The Genesis GV60 and G90 released last year feature ccIC, an integrated cockpit that integrates the cluster, infotainment system, and head-up display, and the basis for this is ccOS.i.

To run the infotainment system and cluster with a single operating system, high-performance hardware is also essential.

To this end, Hyundai Motor Group is collaborating with NVIDIA to create various synergies, such as installing ccOS optimized for NVIDIA DRIVE hardware. I'm paying.

“We are proud to work with Hyundai Motor Group to build a software-centric intelligent cockpit environment,” said Ali Kani, vice president of NVIDIA. “Starting in 2022, all Hyundai Motor Group vehicles will come standard with an infotainment system powered by NVIDIA DRIVE.”

■ The impact of ccOS on autonomous driving

“ccOS.a is a vehicle operating system optimized to guarantee network speed and process data at ultra-high speeds,” said Executive Director Jang Woong-jun, adding, “It is a high-spec, proprietary operating system that can meet the requirements of autonomous vehicles.”

In order to advance autonomous driving, the ability to collect massive amounts of data through sensors such as lidar must be organically connected with software technology to quickly analyze and process the data.

Hyundai Motor Group has developed, mass-produced, and applied its own high-spec operating system ccOS.a that can respond to the high level of requirements for autonomous driving.

In addition, we have established a new autonomous driving architecture based on an integrated controller, which goes one step further than the system of developing autonomous driving functions separately for each sensor, such as cameras, by standardizing specifications and adding a dedicated autonomous driving network within the vehicle, and have been in mass production since the end of 2019.

The second-generation integrated controller, which has been mass-produced since the Genesis GV60, is based on deep learning. Advanced signal processing such as image recognition is possible, and OTA function is also included.

Vehicles capable of highway autonomous driving (Lv3) based on the second-generation controller are scheduled to be released sequentially from the end of 2022, and remote autonomous parking technology is also under development.

“We are also developing a third-generation integrated controller,” said Executive Director Jang Woong-jun. “Our goal is to provide faster calculations and control functions by increasing the level of controller integration.”

The third-generation controller is expected to serve as the basis for expanding the mass production of Level 3 autonomous driving and mass production of Level 4 and 5 autonomous driving, with the main goals of ▲enhancing autonomous driving functions ▲improving heat dissipation and noise ▲reducing costs.