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ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to explore whether self-driving cars can lead to sustainability. Using and replicating data from AUDI AG, AUVSI, Black & Veatch, Capgemini, CivicScience, Ipsos, J.D. Power, and Perkins Coie, I performed analyses and made estimates regarding autonomous smart sensors, perception and planning, and data processing efficiency. Data were analyzed using structural equation modeling.

Keywords: self-driving; car; sustainability; sensor; perception; algorithm

How to cite: Keane, J. (2020). “Can Self-Driving Cars Lead to Sustainability? Autonomous Smart Sensors, Perception and Planning Algorithms, and Data Processing Efficiency,” Contemporary Readings in Law and Social Justice 12(1): 9–15. doi:10.22381/CRLSJ12120201

Received 12 February 2020 • Received in revised form 7 July 2020
Accepted 9 July 2020 • Available online 10 July 2020

John Keane
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Institute of Smart Big Data Analytics,
New York City, NY, USA

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