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Title:AV-FUZZER: An automated fuzzing framework for safety testing of autonomous vehicles
Author(s):Li, Yiran
Advisor(s):Kalbarczyk, Zbigniew T
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Autonomous vehicles
testing
Abstract:Autonomous vehicles (AVs) are getting increasing attention, since people believe that AVs have signi cant potential to improve the productivity of transportation and quality of life. However, there is a public perception problem with regard to the safety of AVs, so ensuring AV safety is among the top issues regarding the development of AVs, and it is critical to the success of AVs in the marketplace. However, the question is how to test out the AVs system whether it is as safe as expectations. In this thesis, we will discuss the history and background of the AV's development. In the meanwhile, the focus of this thesis is on testing methodologies, AV-Fuzzer and the other two existed testing frameworks.
Issue Date:2021-04-23
Type:Thesis
URI:http://hdl.handle.net/2142/110692
Rights Information:Copyright 2021 Yiran Li
Date Available in IDEALS:2021-09-17
Date Deposited:2021-05


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