"Advancing Safety Validation & Testing of Autonomous Vehicles Using Adv" by Joseph William Beck
 

Doctoral Dissertations

Orcid ID

0000-0003-4257-1138

Date of Award

12-2024

Degree Type

Dissertation

Degree Name

Doctor of Philosophy

Major

Mechanical Engineering

Major Professor

Subhadeep Chakraborty

Committee Members

Subhadeep Chakraborty, Asad Khattak, Hairong Qi, Zhenbo Wang

Abstract

Even as extensive efforts are put in to the research and development of self-driving vehicles, many safety concerns persist. On-road testing presents unrealistic costs for manufacturers, leading to a development cycle that moves into deployment before sufficient validation has occurred. Additionally, there are a multiplicity of driving scenarios that combine in various ways to define what safe driving behaviors look like, and it is not clear what finite set of scenarios would constitute a valid safety test. In my doctoral dissertation, we thoroughly examine virtual simulation as a tool to overcome these obstacles toward the validation of self-driving vehicles. There are two primary threads that tie all of the work described in this dissertation together: diagnostic clarity and realism. Both of these concepts are explored through original research and novel approaches, expanding the capability of virtual simulation as a tool for validation of real-world self-driving cars.

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