{
  "$type": "site.standard.document",
  "description": "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…",
  "path": "/patents/1389461",
  "publishedAt": "2026-06-11T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W60/0011",
    "ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE"
  ],
  "textContent": "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.",
  "title": "DRIVING STRATEGY LEARNING SYSTEM AND METHOD BASED ON UNIFIED VISION-LANGUAGE PERCEPTION IN REAL-TIME DRIVING ENVIRONMENT"
}