An active defensive driving system mounted on a vehicle according to one embodiment of the present invention comprises: a warning device; a camera; and a control unit that identifies driving information including the width of a driving road and the width of a blind spot from an image acquired in real time by the camera, identifies an accident caution zone according to the image based on a deep learning model learned to perform an accident caution zone calculation according to situational information recognized through the image, and controls the warning device to perform an operation for defensive driving according to the driving information and the accident caution zone. Thus, the present invention can provide the active defensive driving system and the defensive driving method that more efficiently prevent accidents in advance.

    본 발명의 일 실시예에 따른 차량에 장착되는 능동형 방어운전 시스템에 있어서, 경보 장치; 카메라; 상기 카메라에 의해 실시간으로 획득되는 영상으로부터 주행 도로의 폭 및 사각 지대의 넓이를 포함하는 주행 정보를 식별하고, 영상을 통해 인식되는 상황 정보에 따라 사고 주의 구역의 연산을 수행하도록 학습된 딥러닝 모델에 기초하여 상기 영상에 따른 사고 주의 구역을 식별하고, 상기 주행 정보 및 상기 사고 주의 구역에 따라 방어운전을 위한 동작을 수행하도록 상기 경보 장치를 제어하는 제어부;를 포함한다.


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    Title :

    Active defensive driving system mounted on vehicle and defensive driving method thereof


    Additional title:

    차량에 장착되는 능동형 방어운전 시스템 및 방어운전 방법


    Contributors:

    Publication date :

    2024-01-03


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Korean


    Classification :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / B60Q ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL , Anordnung von Signal- oder Beleuchtungsvorrichtungen, deren Einbau oder Halterung oder deren Schaltkreise bei Fahrzeugen allgemein / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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