The invention discloses a driverless automobile obstacle recognition and detection system based on deep learning. The system comprises an image acquisition module, a depth calculation module, a line conversion module and a guide departure module, wherein the output end of the image acquisition module is connected with the input end of the depth calculation module, the output end of the depth calculation module is connected with the input end of the line conversion module, and the output end of the line conversion module is connected with the input end of the user guide departure module. Obstacle images are deeply processed, accurate information images are obtained, depth calculation is carried out on obstacles, conversion line angles are automatically obtained, the obstacles are accuratelyavoided, driving safety and stability are ensured, and the method is suitable for popularization.

    本发明公开了一种基于深度学习的无人驾驶汽车障碍物识别检测系统,包括图像获取模块、深度计算模块、线路转换模块和引导出发模块,所述图像获取模块的输出端与深度计算模块的输入端连接,所述深度计算模块的输出端与线路转换模块的输入端连接,所述线路转换模块的输出端用户引导出发模块的输入端连接。本发明对障碍物图像深度加工处理,获取准确信息图像,对障碍物进行深度计算,并自动获取转换线路角度,准确避开障碍物,确保行驶安全稳定,适合进行推广。


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    Titel :

    Driverless automobile obstacle recognition and detection system based on deep learning


    Weitere Titelangaben:

    一种基于深度学习的无人驾驶汽车障碍物识别检测系统


    Beteiligte:
    JIA RUI (Autor:in) / CUI SHENGGUANG (Autor:in) / WANG ZHIXUE (Autor:in) / YU YANG (Autor:in)

    Erscheinungsdatum :

    06.11.2020


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    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



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