Provided are a method and device for setting a deep learning algorithm for autonomous driving. The present method comprises: a driving environment information determination step of determining driving environment information of a vehicle based on input information including image information outside the vehicle; a deep learning model and a deep learning parameter set determining step of determining a deep learning model corresponding to the determined driving environment information and a deep learning parameter set of the deep learning model; and a deep learning algorithm setting step of setting a deep learning algorithm to which the determined deep learning parameter set is applied to the determined deep learning model as a deep learning algorithm for autonomous driving of the vehicle. Therefore, the present invention is capable of increasing accuracy and reliability.

    자율 주행을 위한 딥러닝 알고리즘 설정 방법 및 장치가 제공된다. 상기 방법은, 차량 외부의 이미지 정보를 포함하는 입력 정보에 기초하여, 차량의 주행 환경 정보를 결정하는 주행 환경 정보 결정 단계; 상기 결정된 주행 환경 정보에 대응하는 딥러닝 모델 및 상기 딥러닝 모델의 딥러닝 파라미터 세트를 결정하는 딥러닝 모델 및 딥러닝 파라미터 세트 결정 단계; 및 상기 결정된 딥러닝 모델에 상기 결정된 딥러닝 파라미터 세트가 적용되는 딥러닝 알고리즘을 상기 차량의 자율 주행을 위한 딥러닝 알고리즘으로 설정하는 딥러닝 알고리즘 설정 단계를 포함한다.


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    Title :

    Mehod and Device of configuring deep learning algorithm for autonomous driving


    Additional title:

    자율 주행을 위한 딥러닝 알고리즘 설정 방법 및 장치


    Contributors:

    Publication date :

    2021-06-04


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Korean


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / 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 / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen



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