In recent years, the development of SDV has changed dramatically with the advancement of cloud and AI technologies.

Through SDV Engineering, we will introduce the concept of engineering infrastructure required in the SDV era, such as virtual ECUs, automatic test generation, and development efficiency through cloud collaboration.
1. Development issues in the SDV era and how to respond to structural changes
2. Automation and streamlining of development processes through the use of AI
3. Integration of virtual ECU and simulation environment

As the shift to software-defined vehicles (SDV) continues to progress, the development and production structures of OEMs and suppliers are also undergoing a period of major change.
This presentation will introduce the challenges faced by OEMs and suppliers and how they are tackling them through solutions, referring to case studies in Europe.
1. Current status of design and development and challenges faced
2. Streamlining design work in product line development
3. Case Study of a European Automobile Manufacturer

Lightweighting Design Development in the Age of SDV
1. The Tomorrow of SDV is AD & OTA
2. XR, which struggled to gain popularity, breaks out with AI glasses
3. Focus on Human ADAS Technology, Human Physical AI (Robot) and Wellness Technology
4. Edge AI and security to compete with Chinese companies’ technology & cosmetics