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\section{Conclusion}
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We presented a novel approach for integrating prior navigation knowledge by using realistic human walking paths.
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Based on a weighted graph, two different models for walking in a more targeted and natural manner were introduced.
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We presented a novel approach to integrate prior navigation knowledge by using realistic human walking paths.
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Based on a weighted graph, two different models for walking in a targeted and natural manner were introduced.
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It could be shown that adding this additional knowledge causes an overall improvement of the localisation results, while maintaining flexibility for unexpected behaviour.
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Furthermore, our approach is able to provide accurate and robust position estimations, even when (usually) necessary calibration processes are omitted.
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