[Purpose/Significance] Knowledge map and evolutionary analysis—taking the unmanned vehicle field as an example to grasp the scientific research knowledge structure, knowledge correlation and evolution of the field, which is helpful for researchers to timely detect and find new problems and breakthroughs in scientific research. [Method/Process] This‬ study not‬ only promotes‬ the knowledge and‬ understanding‬ of cutting-edge‬ issues in the academic community, but also promotes the exploration and practice of technological‬ innovation‬ paths‬ in‬ the‬ industry, ‬realizes‬ the theoretical guidance and practical‬ basis,‬ and further‬ builds‬ an‬ interdisciplinary‬ communication‬ platform‬ to promote‬ knowledge‬ sharing‬ and‬ cooperative innovation‬ among‬ multiple fields, ‬and jointly‬ promote‬ the‬ development‬ of‬ unmanned‬ driving‬ technology‬ in‬ a more intelligent, safe and efficient direction.‬ [Result/Conclusion] Through the deep integration of intelligence methods and domain application analysis, it provides knowledge support for scientific and technological researchers or strategic decision-makers, which not only reveals the challenges faced by the current unmanned driving technology, but also looks forward to the infinite possibilities of future development. This study not only promotes the knowledge and understanding of cutting-edge issues in the academic community, but also promotes the exploration and practice of technological innovation paths in the industry, realizes the theoretical guidance and practical basis, and further builds an interdisciplinary communication platform to promote knowledge sharing and cooperative innovation among multiple fields, and jointly promote the development of unmanned driving technology in a more intelligent, safe and efficient direction.