Publication Date

Fall 12-3-2019


School of Engineering and Computational Sciences


Autonomous Vehicles, Neural Network, Machine Learning, Economics, Ethics


Controls and Control Theory | Electrical and Electronics | Navigation, Guidance, Control, and Dynamics | Systems and Communications


Autonomous vehicles are an emerging technology that faces challenges, both technical and socioeconomic. This paper first addresses specific technical challenges, such as parsing visual data, communicating with other entities, and making decisions based on environmental knowledge. The technical challenges are to be addressed by the fields of image processing, Vehicle to Everything Communication (V2X), and decision-making systems. Non-technical challenges such as ethical decision making, social acceptance, and economic pushback are also discussed. Ethical decision making is discussed in the framework of deontology vs utilitarianism, while social acceptance of utilitarian autonomous vehicles is also investigated. Last, the likely economic impact is described.