Is artificial intelligence the solution to all our problems? Exploring the applications of AI for automated driving

  • Stefan Milz
  • Jörg Schrepfer
Conference paper
Part of the Proceedings book series (PROCEE)


Deep Learning and AI has become the standard model for object detection and recognition such as situation understanding, prediction and planning. In this chapter we explore how AI can be used to improve parts of the classical ADAS algorithm chain. Based on this, we investigate the full Automated Driving pipeline. Firstly, we describe the building blocks of the pipeline composed of standard computer vision tasks. We provide an overview of use cases for automated driving based on the authors’ experience in commercial deployment, e.g. Sensor-Fusion, Perception, SLAM or End-2-End Driving. Finally, we discuss the opportunities of using AI and Deep Learning to improve upon state-of-the-art classical methods.


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Copyright information

© Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2020

Authors and Affiliations

  • Stefan Milz
    • 1
  • Jörg Schrepfer
    • 1
  1. 1.Valeo Schalter und Sensoren GmbHKronachDeutschland

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