Speaker - Biography & Lecture Summary

Track 1: Connected and Autonomous Vehicles

All self-driving cars will employ some combination of sensors, cameras, radar, high-performance GPS, LIDAR, AI, and machine learning to achieve their respective levels of autonomy. Connectivity to secure and scalable IoT, data management, and cloud solutions are also important to the mix, providing a resilient and high-performance foundation on which to collect, manage, and analyze voluminous sensor data.

Keywords: On-board computers Sensing Machine learning Mapping system V2X communication OTA software updates Cyber-security


Pedro López Estepa
u-blox AG

Connected vehicles: the biggest revolution on our roads since the invention of the automobile

Tak Ikushima

Enhancing In Vehicle Experience powered by Intel FPGAs

Russell Ruben
웨스턴디지털 코리아

NAND Flash Edge Storage Making Autonomous Possible

Jean Lee
Microchip Technology Inc.

Reducing the Cost and Complexity of TSN/AVB: Out-of-the-box Automotive Ethernet Endpoints

Jooyang Park
NXP semiconductors

NXP ADAS Sensors Light the Way for Autonomous Driving

Kerry Johnson
BlackBerry | QNX

Software challenges in highly automated driving

Michael Ziganek
Mentor, a Siemens Business

Centralized raw data fusion and new validation methods for Autonomous Vehicles

Track 2: Infotainment and HMI / Advanced xEV

In-vehicle infotainment is a collection of hardware and software in automobiles that provides audio or video entertainment. IVI originated with car audio systems that consisted of radios and cassette or CD players, and now includes automotive navigation systems, video players, USB and Bluetooth connectivity, Carputers, in-car internet, and WiFi. Once controlled by simple dashboards knobs and dials, ICE systems can include steering wheel audio controls and hands-free voice control.

Keywords: Multimodal interface Human-machine interface User interface User experience Sensors Gesture recognition Speech recognition Multitasking Mobile convergence OTA Cyber-security Open source In-vehicle Networking Headrest display


고영화 부장

ADAS와 자율주행 자동차에서 AI(인공지능)의 역할

권중엽 책임연구원
로옴 세미컨덕터 코리아 디자인센터

(Functional Safety for ) Designing the Infotainment

전성환 부장 / 김영곤 차장

The key to choosing the best SiC & Traction Inverter solution for car electrification

Track 3: Autonomous Vehicle Testing & Development

In 2030, it’s been clear that fully autonomous self-driving vehicles are set to become a reality. Yet 20 years later, the final stages of testing, validation and failsafing pose a huge challenge to the automotive industry. The rigorousness and thoroughness of the testing processes need to be at a higher level than anything that has gone before, if the final reality is to be achieved with complete safety and integrity guaranteed.

Keywords: Simulation & Embedded Software Testing Reliability Testing of SW/HW Systems Fail-safe Testing Validation and Verification Diagnostics ECU Calibrations Data Acquisition Signal Analysis


오창훈 이사
Teledyne LeCroy Korea 기술지원팀

Automotive Ethernet 1000BASE-T1 Physical Layer compliance testing

Seo, Dong-Hyun
Keysight Technologies Korea

Debugging automotive serial buses

변용기 차장 / 김재윤 차장
Mentor, a Siemens Business

Best solution for automotive system verification with multiple ECUs