The invention discloses a driving intention prediction method based on a cross-domain perception and mental theory. The method comprises the following steps: 1, integrating multi-modal perception data; 2, constructing a cross-domain perception theory; 3, constructing a driver cognitive structure model based on a mental theory; 4, constructing a man-machine collaborative driving intention model; the method has the advantages that information support is provided for the system to better cooperate with a driver to complete a driving task; the use difficulty of the man-machine co-driving system is reduced, so that the practicability is improved; the universality and effectiveness of driving intention prediction are greatly improved; the interpretability of the man-machine co-driving system can be obviously improved; the driver acceptability and credibility of the man-machine co-driving system can be improved; the whole system has good universality for common drivers, and meanwhile personalized retraining is easy to carry out due to the characteristic of iterative updating.

    本发明公开了一种基于跨域感知与心智理论的驾驶意图预测方法,其方法为:第一步、整合多模态感知数据;第二步、构建跨域感知理论;第三步、构建基于心智理论的驾驶员认知结构模型;第四步、构建人机协同驾驶意图模型;有益效果:为系统更好地协同驾驶员完成驾驶任务提供了信息支持;降低人机共驾系统的使用难度,从而提升其实用性;极大地提升驾驶意图预测的通用性和有效性;能够显著提升人机共驾系统的可解释性;能够提高人机共驾系统的驾驶员接受度和信任度;使得整体系统对于普通驾驶员具有良好的普适性,同时也由于其迭代更新的特性易于进行个性化再训练。


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    Title :

    Driving intention prediction method based on cross-domain perception and mental theory


    Additional title:

    一种基于跨域感知与心智理论的驾驶意图预测方法


    Contributors:
    SUN BOHUA (author) / LENG XINLUN (author) / ZHANG YUFEI (author) / MA WENXIAO (author) / ZHAO SHUAI (author) / ZHAI YANG (author)

    Publication date :

    2023-04-04


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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