[SWM] Seoul Demonstration - Autonomous Driving Technology

Autonomous driving vehicles, electric buses SW/HW, electronic products, in-vehicle infotainment.

- Level 4 standard driving automation software (localization, perception, prediction, decision/planning, control) - Multi Sensor Fusion Localization: Stable position estimation even in areas where GPS signals are obstructed, such as underground roads/tunnels - Traffic object recognition and sensor fusion: Precise recognition of surrounding objects within an error range of up to 5 cm - Traffic object AI prediction: Simulates the movement trajectories of over 200 surrounding objects to pre-detect hazardous elements - Hybrid driving decision/planning: Calculates the optimal route in urban environments, maximizing driving safety - DDT Fallback: Automatically moves to a safe zone if an anomaly occurs in the autonomous driving system - Driving automation computing system (AP-500) that meets vehicle reliability standards - Ensures over 1,000 TOPS of computational processing power, providing a high-performance computing environment necessary for Lv4+ autonomous driving - Capable of simultaneously processing data from up to 46 sensors (cameras, LiDAR, radar, etc.), optimized for large-capacity parallel computation - Enhanced security features compliant with international standards and equipped with software update capabilities - Application of ASIL-D certified components and system monitoring functions to maximize safety and reliability

Software (middle, driver, security, etc.)