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

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  • © 2020

Overview

Authors:
  1. Tuan Tran Nguyen

    1. AutoUni, Wolfsburg, Germany

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  • Availability of automated driving increases up to 7 % compared to the average fusion

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

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Table of contents (7 chapters)

  1. Front Matter

    Pages I-XXIII
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  2. Introduction

    • Tuan Tran Nguyen
    Pages 1-8

  3. Related Work

    • Tuan Tran Nguyen
    Pages 9-26

  4. Reliability-Based Fusion Framework

    • Tuan Tran Nguyen
    Pages 27-40

  5. Assessing Reliability for Ego-Lane Detection

    • Tuan Tran Nguyen
    Pages 41-60

  6. Learning Reliability

    • Tuan Tran Nguyen
    Pages 61-93

  7. Information Fusion

    • Tuan Tran Nguyen
    Pages 95-116

  8. Conclusion

    • Tuan Tran Nguyen
    Pages 117-119

  9. Back Matter

    Pages 121-164
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Keywords

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.

About the Author:

Tuan Tran Nguyen received the Master's degree incomputer 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.


Authors and Affiliations

  • AutoUni, Wolfsburg, Germany

    Tuan Tran Nguyen

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.

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