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

1. Front Matter

   Pages I-XXIII

   PDF

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

   PDF

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.

• 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

• AutoUni, Wolfsburg, Germany

  Tuan Tran Nguyen

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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