AV-FUZZER: An automated fuzzing framework for safety testing of autonomous vehicles
Li, Yiran
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LI-THESIS-2021.pdf
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https://hdl.handle.net/2142/110692
Description
Title
AV-FUZZER: An automated fuzzing framework for safety testing of autonomous vehicles
Author(s)
Li, Yiran
Issue Date
2021-04-23
Director of Research (if dissertation) or Advisor (if thesis)
Kalbarczyk, Zbigniew T
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2021-09-17T02:34:36Z
Keyword(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.
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LI-THESIS-2021.pdf
