Real scenario analysis and prevention of functional safety faults of autonomous driving perception chips

Yuying Liu; Mian Dai; Chao Chen; Juan Du; Shuai Zhao

doi:10.1117/12.3010656

1 December 2023 Real scenario analysis and prevention of functional safety faults of autonomous driving perception chips

Yuying Liu, Mian Dai, Chao Chen, Juan Du, Shuai Zhao

Author Affiliations +

Proceedings Volume 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023); 129400Q (2023) https://doi.org/10.1117/12.3010656
Event: Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 2023, Sipsongpanna, China

Abstract

As the core of autonomous vehicle technology, perception chips are essential for data processing and environmental sensing. The efficacy and reliability of these chips are strongly impacted by the various functional risk factors may confront in scenarios in the real world. This paper provide efficient preventive measures and an innovative method for addressing functional safety failures in perception chips across a variety of real-world scenarios. It systematically investigates typical failure scenarios in a variety of scenarios as well as offers a detailed explanation of the underlying difficulties. A range of novel functional safety testing techniques are introduced in the study, which builds on this basis and allows for quicker and more accurate fault processing. The study additionally explores recent developments and preventative methods to enhance the overall safety functionality of autonomous systems. The study conducts extensive simulation experiments and comparative analyses to show off the viability of the proposed approach, showcasing the notable improvements in terms of fault recognition rate and processing speed. Results from experiments support the method's significant advantages for enhancing the functionality in perception chips, leading to improved functional safety throughout the autonomous driving system.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuying Liu, Mian Dai, Chao Chen, Juan Du, and Shuai Zhao "Real scenario analysis and prevention of functional safety faults of autonomous driving perception chips", Proc. SPIE 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 129400Q (1 December 2023); https://doi.org/10.1117/12.3010656

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