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Seminar Hub Holds Seminar on Technology Trends and Future Response Strategies for Autonomous Vehicles
Seminar Hub held a seminar on June 14th (Wednesday) on the technology trends and future response strategies for autonomous vehicles in accordance with the Fourth Industrial Revolution. The event, sponsored by Autovein and ICN, ran from morning through afternoon.
In the morning session, presentations were made on ▲value chain analysis and market analysis of core component technologies for autonomous vehicles ▲government policies and R&D status ▲ADAS development trends ▲5G communication technology trends.
Park In-woo, an analyst at automotive parts/autonomous driving, who gave the first presentation, explained the overall market from the concept of autonomous vehicles, technology composition, core technologies (radar/lidar/camera sensors, recording devices, V2X communication, precision maps, actuators, IVN-based integrated DCU, etc.), to business models.

Dr. Shin from the Automobile Safety Research Institute of the Korea Transportation Safety Authority introduced the ongoing projects, stating, "The concern of whether we can reduce traffic fatality caused by driver responsibility has expanded into policies for strengthening vehicle safety standards and applying advanced safety devices."
Dr. Shin explained the Automated Command Steering Function (ACSF) and revealed that research is underway on the safety of "control handover" in a convergence form of Automated Lane Keeping (B2 ACSF), where the driver initiates but the vehicle maintains lane without commands/confirmation, and Automated Lane Change (E ACSF). Additionally, K-CITY, scheduled for first public release in the second half of this year, is a test bed that constructs conditions such as pedestrians and bus-only lanes, enabling repeated scenario reproduction.
In the afternoon session, the agenda covered ▲infotainment integrated system platform technology development trends ▲ADAS sensor semiconductor technology development trends ▲digital transformation strategy utilizing artificial intelligence and big data ▲future of AI-based autonomous vehicles ▲autonomous driving function safety system technical issues and response strategies.

"New Technology Needed to Reduce Traffic Accidents Caused by Human Factors"
Cha Jung-hoon, Executive Director at NVIDIA, who presented the future of AI-based autonomous vehicles, introduced the NVIDIA Drive PX platform (Drive PX2) equipped with the Xavier processor. While conventional supercomputers utilizing artificial intelligence are large enough to fill a trunk, the PX platform is about the size of a palm and capable of performing deep learning calculations of 30 trillion operations per second.
Data generated from cameras, lidar, radar, and various other sensors are combined. Subsequently, utilizing artificial intelligence, the 360-degree environment around the vehicle is identified, the vehicle's position on the HD map is determined, and potential risks that may occur during driving are predicted. Additionally, the system software is updated via OTA (Over the air) method, becoming smarter as time progresses.
The final presentation was given by Yeon Gyou-bong, Center Director at the Automotive Parts Research Institute, who introduced IVN (In-Vehicle Network) and Wireless Connectivity, as well as ISO 26262 functional safety issues. He emphasized, "The importance of multi-domain controllers is growing for the functional safety/high-safety systems of autonomous vehicles," stressing that securing reliability through joint cooperation among IVN, module suppliers, and OEMs is critical for application in vehicle safety systems.
Seminar Hub held a seminar on June 14th (Wednesday) on the technology trends and future response strategies for autonomous vehicles in accordance with the Fourth Industrial Revolution. The event, sponsored by Autovein and ICN, ran from morning through afternoon.
In the morning session, presentations were made on ▲value chain analysis and market analysis of core component technologies for autonomous vehicles ▲government policies and R&D status ▲ADAS development trends ▲5G communication technology trends.
Park In-woo, an analyst at automotive parts/autonomous driving, who gave the first presentation, explained the overall market from the concept of autonomous vehicles, technology composition, core technologies (radar/lidar/camera sensors, recording devices, V2X communication, precision maps, actuators, IVN-based integrated DCU, etc.), to business models.
Dr. Shin from the Automobile Safety Research Institute of the Korea Transportation Safety Authority introduced the ongoing projects, stating, "The concern of whether we can reduce traffic fatality caused by driver responsibility has expanded into policies for strengthening vehicle safety standards and applying advanced safety devices."
Dr. Shin explained the Automated Command Steering Function (ACSF) and revealed that research is underway on the safety of "control handover" in a convergence form of Automated Lane Keeping (B2 ACSF), where the driver initiates but the vehicle maintains lane without commands/confirmation, and Automated Lane Change (E ACSF). Additionally, K-CITY, scheduled for first public release in the second half of this year, is a test bed that constructs conditions such as pedestrians and bus-only lanes, enabling repeated scenario reproduction.
In the afternoon session, the agenda covered ▲infotainment integrated system platform technology development trends ▲ADAS sensor semiconductor technology development trends ▲digital transformation strategy utilizing artificial intelligence and big data ▲future of AI-based autonomous vehicles ▲autonomous driving function safety system technical issues and response strategies.
"New Technology Needed to Reduce Traffic Accidents Caused by Human Factors"
Cha Jung-hoon, Executive Director at NVIDIA, who presented the future of AI-based autonomous vehicles, introduced the NVIDIA Drive PX platform (Drive PX2) equipped with the Xavier processor. While conventional supercomputers utilizing artificial intelligence are large enough to fill a trunk, the PX platform is about the size of a palm and capable of performing deep learning calculations of 30 trillion operations per second.
Data generated from cameras, lidar, radar, and various other sensors are combined. Subsequently, utilizing artificial intelligence, the 360-degree environment around the vehicle is identified, the vehicle's position on the HD map is determined, and potential risks that may occur during driving are predicted. Additionally, the system software is updated via OTA (Over the air) method, becoming smarter as time progresses.
The final presentation was given by Yeon Gyou-bong, Center Director at the Automotive Parts Research Institute, who introduced IVN (In-Vehicle Network) and Wireless Connectivity, as well as ISO 26262 functional safety issues. He emphasized, "The importance of multi-domain controllers is growing for the functional safety/high-safety systems of autonomous vehicles," stressing that securing reliability through joint cooperation among IVN, module suppliers, and OEMs is critical for application in vehicle safety systems.
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김자영 Reporter















