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Analysis of the Current Research Status of Target Recognition in the Field of Autonomous Driving from 2018 to 2023

  • Xin Jiafeng,
  • Zhao Boxin,
  • Wang Yanfei,
  • Sun Xin

摘要

With the development and progress of science and technology, autonomous driving has gradually become a key direction of artificial intelligence research. As the foundation and core of autonomous driving, target recognition technology still has some shortcomings in working in complex road environments. This article conducts a comprehensive research and analysis of autonomous driving target recognition related technologies in the past five years, elaborates on the recognition of different types of targets under a series of algorithms, and conducts research on recognition in special environments. It lists the advantages and challenges of the current development of autonomous driving target recognition, the current application status, and puts forward prospects for future development.