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/lp/addleton-academic-publishers/autonomous-vehicle-routing-and-navigation-computer-vision-algorithms-EZKNPAwB0J
- 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 Justice – Addleton Academic Publishers
Published: Jan 1, 2021