Abstract

The rapid development of autonomous driving technology puts great demands on high-performance computing, and AI chips play a crucial role in it due to their efficient parallel computing capability. The aim of this review is to explore the application of AI chips in different layers of the autonomous driving system, including the perception layer, the decision-making layer, and the execution layer, and to analyse their key technical issues in terms of power consumption management, computational efficiency, scalability, reliability and security. In addition, this paper discusses the impact of the manufacturing process on the performance of AI chips, as well as its future development trends and challenges.

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