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Title:Assessment and assurance of autonomous vehicle safety
Author(s):Cyriac, James
Advisor(s):Iyer, Ravishankar
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Autonomous Vehicle
Safety assessment
Fault Injection
Abstract:Safety is the biggest roadblock in deploying autonomous vehicles (AVs) on public roads as exemplified by recent headline-making accidents. Ensuring AV safety is as important as developing technology that enables self-driving functionality and requires more attention. This thesis has a few goals. First, it organizes and analyzes the current state-of-the-art methods for evaluating AV safety, elaborating on their advantages, drawbacks and potential directions for improvement. Second, it studies the recent Boeing 737 MAX crashes to highlight the importance of prioritizing the assessment and assurance of safety-critical systems like AVs over business interests. Then it demonstrates two methods of assessing AV safety: post-mortem data analysis and end-to-end fault injection on AVs. Post-mortem data analysis of the disengagement and crash reports from various manufacturers testing their AVs in California, USA, shows that AV technology needs further development to be as safe as human drivers and is not ready to be deployed unsupervised on public roads. The end-to-end fault injection framework can be used to assess and uncover safety-critical faults of the entire AV stack using a realistic driving simulator framework.
Issue Date:2020-12-02
Rights Information:Copyright 2020 James Cyriac
Date Available in IDEALS:2021-03-05
Date Deposited:2020-12

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