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Autonomous Vehicle Routing and Navigation, Computer Vision Algorithms, and Transportation Analytics in Network Connectivity Systems

Autonomous Vehicle Routing and Navigation, Computer Vision Algorithms, and Transportation... Empirical evidence on autonomous vehicle routing and navigation, computer vision algorithms, and transportation analytics in network connectivity systems has been scarcely documented in the literature. Using and replicating data from ANSYS, Atomik Research, APA, AUDI AG, BCG, Capgemini, EY, Ipsos, and Kennedys, we performed analyses and made estimates regarding how self-driving cars can considerably decrease highway congestion and motor vehicle collision frequency and severity by identifying the road users and surrounding infrastructure promptly and precisely. Object detection is essential in the autonomous vehicle perception system, resulting in reduced traffic collisions and fatalities. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. Keywords: autonomous vehicle; computer vision algorithm; transportation analytics; routing; navigation; network connectivity system http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Contemporary Readings in Law and Social Justice Addleton Academic Publishers

Autonomous Vehicle Routing and Navigation, Computer Vision Algorithms, and Transportation Analytics in Network Connectivity Systems

Contemporary Readings in Law and Social Justice , Volume 13 (2): 14 – Jan 1, 2021

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Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
1948-9137
eISSN
2162-2752
Publisher site
See Article on Publisher Site

Abstract

Empirical evidence on autonomous vehicle routing and navigation, computer vision algorithms, and transportation analytics in network connectivity systems has been scarcely documented in the literature. Using and replicating data from ANSYS, Atomik Research, APA, AUDI AG, BCG, Capgemini, EY, Ipsos, and Kennedys, we performed analyses and made estimates regarding how self-driving cars can considerably decrease highway congestion and motor vehicle collision frequency and severity by identifying the road users and surrounding infrastructure promptly and precisely. Object detection is essential in the autonomous vehicle perception system, resulting in reduced traffic collisions and fatalities. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. Keywords: autonomous vehicle; computer vision algorithm; transportation analytics; routing; navigation; network connectivity system

Journal

Contemporary Readings in Law and Social JusticeAddleton Academic Publishers

Published: Jan 1, 2021

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