AV-FUZZER: An automated fuzzing framework for safety testing of autonomous vehicles

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2021

Author dc:creator

• Li, Yiran

Contributors dc:contributor

• Kalbarczyk, Zbigniew T

• Autonomous vehicles
• testing

Statement dc:rights

• Copyright 2021 Yiran Li

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/110692

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/110692