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
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The Institute of Smart Big Data Analytics,
New York City, NY, USA

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