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Toni
2016-02-29 13:35:50 +01:00
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tex/chapters/conclusion.tex
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We presented a novel approach to integrate prior navigation knowledge by using realistic human walking paths.
Based on a weighted graph, two different models for walking in a targeted and natural manner were introduced.
It could be shown that adding this additional knowledge causes an overall improvement of the localisation results, while maintaining flexibility for unexpected behaviour.
Furthermore, our approach is able to provide accurate and robust position estimations, even when (usually) necessary calibration processes are omitted.
Furthermore, our approach is able to provide accurate and robust position estimations, even when (usually) necessary calibration processes are avoided.
However, providing this calibration knowledge can further improve the results.
In order to reduce the effort of locating and calibrating \docAP{}s, a numerical optimization based on