The invention relates to the technical field of unmanned driving, in particular to an unmanned vehicle driving resistance prediction method for a field unstructured environment, which enables an unmanned driving system carrying a multi-modal fusion deep neural network model to control an unmanned vehicle to drive in the field unstructured environment. And continuously improving the prediction capability of the multi-modal fusion deep neural network model on the driving resistance of the unmanned vehicle by adopting a multi-speed section driving resistance data set, and assisting the subsequent driving of the unmanned vehicle. The method has the advantages that the rapid change of the environment can be accurately captured in the driving process with the rapid terrain change, the corresponding driving resistance can be accurately predicted, the unmanned driving system is helped to more accurately sense the complex condition of the front road, and the environmental adaptability and the driving reliability of the unmanned vehicle are enhanced; the real-time requirement of the unmanned vehicle in a complex environment is met, and the unmanned vehicle can be assisted to optimize a driving strategy, so that the energy consumption is reduced, and the driving efficiency and the mileage upper limit of the unmanned vehicle are improved.

    本发明涉及无人驾驶技术领域,具体涉及一种用于野外非结构化环境的无人车行驶阻力预测方法,让搭载有多模态融合深度神经网络模型的无人驾驶系统能够控制无人车在野外非结构化环境行驶的同时,采用多速度段行驶阻力数据集不断提升多模态融合深度神经网络模型对无人车行驶阻力的预测能力,辅助无人车的后续行驶。本发明的优点在于,不但能够在地形快速变换的行驶过程中准确捕捉环境的快速变化,准确预测出对应的行驶阻力,帮助无人驾驶系统更准确地感知前方道路的复杂状况,增强无人车的环境适应性以及行驶可靠性,满足无人驾驶车辆在复杂环境中的实时性要求,还能够辅助无人车优化驾驶策略,从而降低能耗,提高无人车的行驶效率和里程上限。


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Driving resistance prediction method for unmanned vehicle in field unstructured environment


    Weitere Titelangaben:

    用于野外非结构化环境无人车的行驶阻力预测方法


    Beteiligte:
    KUANG JINJUN (Autor:in) / LU YU (Autor:in) / CAO HENG (Autor:in) / ZHOU JINGJIE (Autor:in)

    Erscheinungsdatum :

    19.11.2024


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    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 / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



    Unmanned vehicle autonomous navigation system in unstructured environment

    YU XIAOXIA / DENG JUNJIE / LI ZHILONG et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Active safety control method for unmanned vehicle in unstructured environment

    LI ZHAODONG / YANG TINGTING / CHO HEE-JOON et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Unmanned vehicle suitable for unstructured road

    WENG XIUQI / CHEN JIAGUO | Europäisches Patentamt | 2025

    Freier Zugriff

    Unmanned vehicle speed constraint method based on road curvature in unstructured environment

    LI ZHAODONG / CHO HEE-JOON / YANG TINGTING et al. | Europäisches Patentamt | 2025

    Freier Zugriff

    Unmanned vehicle suitable for unstructured road

    JIANG RUHAI / YUAN SHENG / LIU YUE et al. | Europäisches Patentamt | 2024

    Freier Zugriff