This page was machine-translated and may differ from the original. View original

MathWorks Successfully Concludes 'Automotive Conference 2017'

Google 우선 소스Published2017.09.20 12:21
MathWorks’ Automotive Conference 2017 concluded successfully at COEX in Seoul on Wednesday, the 20th, with approximately 200 industry experts, researchers, and engineers in attendance.

Divided into a total of six sessions, the 'Automotive Conference 2017' featured in-depth discussions on the latest technology trends, including data analytics, model-based design, and autonomous driving. In particular, in addition to session presentations by MathWorks employees, networking opportunities with industry experts were provided, allowing conference participants to explore efficient design, test, and verification solutions to address the issues that have recently emerged as key topics in the automotive industry.

In the data analytics session, Seong Ho-hyeon, Deputy General Manager at MathWorks Korea, explained the environment for developing predictive models, including big data access and machine learning, through his presentation titled "Development of a Maintenance Prediction System in MATLAB Using a Sensor Big Data Analytics Environment."

In particular, during the autonomous driving session, Kim Jong-heon, a manager at MathWorks Korea, presented the 'Introduction to the Automated Driving System Toolbox,' introducing methods to enhance detection capabilities by visualizing and integrating sensor data actually used in autonomous driving or driver assistance systems. In addition, Kim Jong-nam, Deputy General Manager at MathWorks Korea, conducted a session on 'Radar System Development in the Automotive Sector,' showcasing technologies for measuring distances between vehicles and modeling and simulating radar systems, which garnered significant interest from the participants.

Lee Je-hoon, Deputy General Manager at MathWorks Korea, introduced methods for establishing a Simulink-based testing process for high-reliability software, while Yoo Yong-chul, Manager, explained the features of the MISRA C:2012 guidelines, which are increasingly being adopted in the automotive industry, and the verification capabilities of Polyspace.

Lee Jong-min, CEO of MathWorks Korea, stated, “MathWorks supports the rapid collection and analysis of massive amounts of data, such as signals and images, generated by vehicles, and enhances algorithms to significantly improve the design efficiency of autonomous vehicles. Moving forward, MathWorks will continue to strengthen its support to enable stakeholders in the automotive industry to accelerate research and development for the implementation of innovative technologies.”
본 기사에 대한 정정·반론·추후보도 청구는 보도 청구 안내를, 그간 게재된 보도문은 정정·반론보도 모아보기를 참고해 주세요.
김자영 기자