EAN: 9783658269487

A RELIABILITY-AWARE FUSION CONCEPT TOWARD ROBUS...

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 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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