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it - Information Technology

Methods and Applications of Informatics and Information Technology

Editor-in-Chief: Molitor, Paul

Online
ISSN
2196-7032
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The mobile revolution – Machine intelligence for autonomous vehicles

1Daimler AG Research & Development, Environment Perception, Sindelfingen, Germany

Citation Information: it - Information Technology. Volume 57, Issue 3, Pages 199–202, ISSN (Online) 2196-7032, ISSN (Print) 1611-2776, DOI: https://doi.org/10.1515/itit-2015-0009, June 2015

Publication History

Accepted:
2015-03-25
Received:
2015-03-22
Published Online:
2015-06-08

Abstract

What started as a distant vision just a few decades ago is quickly becoming reality. Autonomous vehicles are about to be deployed on a large scale and will fundamentally change our transportation behavior. In this particular application, extreme demands on reliability and quality give rise to numerous problems and open issues that need to be jointly identified and addressed by both academia and industry. In this article, we present an overview of the current state-of-the-art in the field of intelligent autonomous vehicles. We further discuss open problems and current research directions.

Keywords: Computer vision; machine learning; robotics; intelligent vehicles; autonomous driving; scene understanding

ACM CCS: Computer systems organization→Embedded and cyber-physical systems→Robotics; Computing methodologies→Artificial intelligence→Computer vision→Computer vision tasks→Scene understanding

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