关键词: 自动驾驶算法；CiteSpace；知识图谱；文献计量分析

Abstract: As an indispensable part of perception, decision planning and control module, autonomous driving algorithm plays a vital role in the development of autonomous driving technology. Focusing on the theme of "autonomous driving+algorithm", this paper reviews and studies the literatures in the field of autonomous driving algorithm, and the data of 1 914 literatures screened by China national knowledge Internet (CNKI) database and web of science (WOS) core collection database are processed, and CiteSpace software is introduced to draw keyword clustering, co-occurrence and emergence knowledge maps which shows the research context of automatic driving algorithm and conduct targeted analysis. The results show that heuristic algorithms such as genetic algorithm, neural network and deep reinforcement learning are important research topics,and monocular vision detection, end-to-end control strategy model and learning, imitation and selection of autonomous vehicles under complex working conditions will be the focus of future research in the field of autonomous driving algorithms, and fusion of multiple autonomous driving algorithms and multisensor fusion will be an important direction of future development.

Key words: Autonomous driving algorithm; CiteSpace; Knowledge graph; Ibliometric analysis