A Reliability-Aware Fusion Concept Toward Robust Ego-Lane Estimation Incorporating Multiple Sources

  • Tuan Tran Nguyen

Part of the AutoUni – Schriftenreihe book series (AUS, volume 140)

Table of contents

  1. Front Matter
    Pages I-XXIII
  2. Tuan Tran Nguyen
    Pages 1-8
  3. Tuan Tran Nguyen
    Pages 9-26
  4. Tuan Tran Nguyen
    Pages 27-40
  5. Tuan Tran Nguyen
    Pages 41-60
  6. Tuan Tran Nguyen
    Pages 61-93
  7. Tuan Tran Nguyen
    Pages 95-116
  8. Tuan Tran Nguyen
    Pages 117-119
  9. Back Matter
    Pages 121-164

About this book


To tackle the challenges of the road estimation task, many works employ a fusion of multiple sources. By that, a commonly made assumption is that the sources always are equally reliable. However, this assumption is inappropriate since each source has certain advantages and drawbacks depending on the operational scenarios. Therefore, Tuan Tran Nguyen proposes a novel concept by incorporating reliabilities into the multi-source fusion so that the road estimation task can alternately select only the most reliable sources. Thereby, the author estimates the reliability for each source online using classifiers trained with the sensor measurements, the past performance and the context. Using real data recordings, he shows via experimental results that the presented reliability-aware fusion increases the availability of automated driving up to 7 percentage points compared to the average fusion.

  • Reliability-Aware Fusion Framework
  • Assessing and Learning Reliability for Ego-Lane Estimation
  • Reliability-Based Ego-Lane Estimation Using Multiple Sources
Target Groups
  • Scientists and students in the fields of IT, fusion and automated driving
  • Engineers working in industrial research and development of automated driving
About the Author
Tuan Tran Nguyen received the Master's degree in computer science and the Ph.D. degree from Otto-von-Guericke University Magdeburg, Germany, in 2013 and 2019, respectively. His research focuses on methods and architectures for reliability-based sensor fusion in intelligent vehicles.


Robust Ego-Lane Estimation Road Detection Multi-Source Fusion Reliability Ego-Lane and Estimation Intelligent Vehicles Classification Dempster–Shafer Theory Learning Reliability Neural Networks Random Forests Reliability-Aware Fusion

Authors and affiliations

  • Tuan Tran Nguyen
    • 1
  1. 1.AutoUniWolfsburgGermany

Bibliographic information

  • DOI
  • Copyright Information Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2020
  • Publisher Name Springer, Wiesbaden
  • eBook Packages Intelligent Technologies and Robotics
  • Print ISBN 978-3-658-26948-7
  • Online ISBN 978-3-658-26949-4
  • Series Print ISSN 1867-3635
  • Series Online ISSN 2512-1154
  • Buy this book on publisher's site
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