Corvus: Urban Air Mobility Solutions for Package Delivery; Using Virtue Ethics to Examine the Uber’s Fatal Self-Driving Crash

Author:
Choi, Daniel, School of Engineering and Applied Science, University of Virginia
Advisor:
McDaniel, James, EN-Mech/Aero Engr Dept, University of Virginia
Abstract:

For my Technical Report, I am writing a report on a proposed design of a safe, low-noise,
profitable unmanned aerial system to deliver a five-pound package across short distances in
participation of NASA’s design challenge. The report was written in collaboration with twelve
other Aerospace Engineering students for MAE 4650/4660 Aircraft Design I and II Capstone
class. For my STS research, I am exploring the arguments for the ethically and morally
responsible party of the fatal Autonomous Uber vehicle crash through using network-actor
theory, as well as care ethics. There is a tight relationship between my technical report and STS
research. Firstly, the drone that our capstone is designing will be autonomous in navigation
through implementation of a sensor driven artificial intelligence to achieve remote package
delivery network. In the STS research paper, I am exploring the crash of the Uber’s autonomous
vehicle that was driving on a sensor driven artificial intelligence to build an autonomous
passenger delivery network.

Degree:
BS (Bachelor of Science)
Keywords:
Aerospace, Autonomy, Uber, Self Driving, Drone
Notes:

School of Engineering and Applied Science
Bachelor of Science in Aerospace Engineering
Technical Advisor: James McDaniel
STS Advisor: Benjamin Laugelli
Technical Team Members: David Normansell, Cristhian Vasquez, Brett Brunsink, Henry Smith III, Timothy Mather, Daniel Choi, Derrick Devairakkam, Gino Giansante, JD Parker, Joseff Medina, Justin Robinson, Philip Hays, Alejandro Britos

Language:
English
Issued Date:
2020/05/08