DRIVING STRATEGY LEARNING SYSTEM AND METHOD BASED ON UNIFIED VISION-LANGUAGE PERCEPTION IN REAL-TIME DRIVING ENVIRONMENT

Disclosed are a driving strategy learning system and method based on unified vision-language perception in a real-time driving environment. The driving strategy learning system includes an input information processing unit configured to collect and pre-process multi-sensor data, an environment perception and decision unit configured to interpret a driving environment and to perform a driving decision based on a unified vision-language mode (VLM), a driving controller configured to generate and execute a vehicle control instruction based on the driving decision, and an auxiliary information processor configured to support a driving strategy decision by integrating auxiliary information including at least any one of a navigation route, vehicle and passenger statuses, and a time to collision (TTC)-based collision risk index.