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Connected and Autonomous Transport Systems: Deep Learning-based Sensing Technologies, Data-driven Mobilities, and Intelligent Vehicular Networks - 2020

Connected And Autonomous Transport Systems: Deep Learning-Based Sensing Technologies, Data-Driven Mobilities, And Intelligent Vehicular Networks

Research Area:  Machine Learning

Abstract:

Empirical evidence on connected and autonomous transport systems has been scarcely documented in the literature. Using and replicating data from Accenture, AUVSI, Behaviour & Attitudes, Black & Veatch, Capgemini, eMarketer, Kennedys, Morning Consult, Perkins Coie, SAE, Statista, and YouGov, I performed analyses and made estimates regarding deep learning-based sensing technologies, data-driven mobilities, and intelligent vehicular networks. Data were analyzed using structural equation modeling.

Keywords:  

Author(s) Name:  Rachel Robinson

Journal name:  Contemporary Readings in Law and Social Justice

Conferrence name:  

Publisher name:  CEEOL

DOI:  10.22381/CRLSJ12220206

Volume Information:  Vol. 12, Iss. 2, (2020): 52-60.

Paper Link:   https://www.ceeol.com/search/article-detail?id=910400

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