A Reliability Analysis of Self-Driving Vehicles: Evaluating the Safety and Performance of Autonomous Driving Systems

Aneesh Pradeep, Mironshokh Bakoev, Nazokat Akhroljonova
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Abstract

Self-driving cars are a ground-breaking invention with the potential to revolutionize the transportation sector. As technology develops, it is more crucial than ever to guarantee the dependability of self-driving cars. The dependability analysis of self-driving cars is the main topic of this research article. The multiple levels of automation in self-driving cars and their accompanying reliability requirements are covered in the first section of the study. Afterwards, it examines the many parts of a self-driving car system, such as the perception, decision-making, and control subsystems, and talks about the dependability issues that each of these parts faces. The paper ends by highlighting the value of reliability analysis in ensuring the security and wide acceptance of self-driving cars. In order to overcome the remaining issues and provide more sophisticated methods for self-driving car dependability evaluations, the report advocates for additional research.
自动驾驶车辆的可靠性分析:评估自动驾驶系统的安全性和性能
自动驾驶汽车是一项突破性的发明,有可能彻底改变交通运输领域。随着技术的发展,保证自动驾驶汽车的可靠性比以往任何时候都更加重要。自动驾驶汽车的可靠性分析是本文的主要研究课题。该研究的第一部分涵盖了自动驾驶汽车的多个自动化级别及其伴随的可靠性要求。之后,它检查了自动驾驶汽车系统的许多部分,如感知、决策和控制子系统,并讨论了这些部分所面临的可靠性问题。论文最后强调了可靠性分析在确保自动驾驶汽车的安全性和广泛接受方面的价值。为了克服目前存在的问题,为自动驾驶汽车的可靠性评估提供更复杂的方法,报告主张进行进一步的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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