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Knowledge-Based Driver Assistance Systems

Traffic Situation Description and Situation Feature Relevance

  • Book
  • © 2014

Overview

Authors:
  1. Michael Huelsen

    1. Department for Informatics, Karlsruhe Institute of Technology (KIT), Karslruhe, Germany

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  • Publication in the field of technical science

  • Includes supplementary material: sn.pub/extras

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Table of contents (7 chapters)

  1. Front Matter

    Pages I-XVII
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  2. Introduction

    • Michael Huelsen
    Pages 1-6

  3. The Research Domain of this Thesis and its State of the Art

    • Michael Huelsen
    Pages 7-26

  4. Theoretical Foundations Relevant to this Thesis

    • Michael Huelsen
    Pages 27-43

  5. Situation Feature Relevance on Measurement Data

    • Michael Huelsen
    Pages 45-91

  6. Knowledge-Based Traffic Situation Description

    • Michael Huelsen
    Pages 93-138

  7. Relevance by Mutual Information on Ontology Features

    • Michael Huelsen
    Pages 139-151

  8. Conclusion

    • Michael Huelsen
    Pages 153-159

  9. Back Matter

    Pages 161-176
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Keywords

About this book

The comprehension of a traffic situation plays a major role in driving a vehicle. Interpretable information forms a basis for future projection, decision making and action performing, such as navigating, maneuvering and driving control. Michael Huelsen provides an ontology-based generic traffic situation description capable of supplying various advanced driver assistance systems with relevant information about the current traffic situation of a vehicle and its environment. These systems are enabled to perform reasonable actions and approach visionary goals such as injury and accident free driving, substantial assistance in arbitrary situations up to even autonomous driving.

Authors and Affiliations

  • Department for Informatics, Karlsruhe Institute of Technology (KIT), Karslruhe, Germany

    Michael Huelsen

About the author

Michael Huelsen completed his doctoral thesis in a co-operation between the Karlsruhe Institute of Technology (KIT) and the Robert Bosch GmbH. After working in automotive development he is now working in a leading position in purchasing and value engineering at a renowned company manufacturing electrical traction systems.

Bibliographic Information

  • Book Title: Knowledge-Based Driver Assistance Systems

  • Book Subtitle: Traffic Situation Description and Situation Feature Relevance

  • Authors: Michael Huelsen

  • DOI: https://doi.org/10.1007/978-3-658-05750-3

  • Publisher: Springer Vieweg Wiesbaden

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Fachmedien Wiesbaden 2014

  • Softcover ISBN: 978-3-658-05749-7Published: 07 May 2014

  • eBook ISBN: 978-3-658-05750-3Published: 23 April 2014

  • Edition Number: 1

  • Number of Pages: XVII, 176

  • Number of Illustrations: 25 b/w illustrations, 30 illustrations in colour

  • Topics: Mathematical and Computational Engineering, Data Structures and Information Theory, Control, Robotics, Mechatronics

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