Applications and Challenges of AI Chips in Autonomous Driving Technology

Authors

  • Tianhao Huang

DOI:

https://doi.org/10.54097/krcvek85

Keywords:

AI chips, Autonomous driving, Perception layer, Decision layer, Execution layer, Power management, Computational efficiency, Manufacturing process

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.

References

[1] Duan W. (2024). A Brief Introduction to Automated Vehicle Driving Technology. Chinese Automatic Identification Technology (02), 66-68.

[2] Liu, W. & Lu, Cunhao. (2023). Research on environment sensing sensors for self-driving cars. Automotive Practical Technology (10), 197-203. doi:10. 16638/j.cnki.1671-7988.2023.010.040.

[3] Zong, Su-Chan. (2022). Analysis of the development trend of intelligent driving in new energy vehicles. Automotive and New Power (05), 21-24. doi:10. 16776/j.cnki.1000-3797.2022.05.005.

[4] Wang, Rainwater Y. & Zhang, P.. (2021). Analysis of key technologies for automotive autonomous driving. Automotive Practical Technology (23), 20-22+29. doi:10. 16638/j.cnki.1671- 7988.2021.023.006.

[5] Wang, X. (2020). Concept and application analysis of artificial intelligence chips. China New Communications (20), 112-113.

[6] Liu, Hengqi. (2019). Development and application of AI chips. Electronics and Software Engineering (22), 91-92.

[7] Wang, J. Q., Huang, H., & Zhou, Q. G.et al. (2019). An overview of autonomous driving development and key technologies. Electronic Technology Applications (06), 28-36. doi:10. 16157/j.issn.0258-7998.199062.

[8] Li, Li-Ting. (2019). Research Report on Artificial Intelligence Chip Technology Progress and Industrial Development. Xiamen Science and Technology (01), 1-9.

[9] Yin, Shouyi, Guo, Heng & Wei, Shaojun. (2018). Current status and trend of artificial intelligence chip development. Science and Technology Herald (17), 45-51.

[10] Jeff Dorsch.(2018). Field programmable gate array FPGA chips and their applications. Integrated Circuit Applications (01), 77-79. doi:10. 19339/j.issn.1674-2583.2018.01.020.

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Published

05-12-2024

Issue

Section

Articles

How to Cite

Huang, T. (2024). Applications and Challenges of AI Chips in Autonomous Driving Technology. Journal of Computing and Electronic Information Management, 15(2), 66-70. https://doi.org/10.54097/krcvek85