FHWS/Fusion2016
Archived
3
0
Fork 0
Code Issues 1 Pull Requests Releases Wiki Activity

chhhhaaaaaannnggggees von Toni F.

Browse Source
This commit is contained in:
toni
2016-02-17 17:44:35 +01:00
parent bcb84a9138
commit e7ae0f7fef
4 changed files with 15 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
tex/chapters/abstract.tex
View File

@@ -6,6 +6,6 @@ In order to create such paths, we present a method that assigns an importance-fa
The human movement is then modelled by moving along adjacent nodes into the most proper walking-direction.
To enable 3D localisation, realistically shaped stairs for step-wise floor changes are used.
The position is estimated over multiple floors integrating different sensor modalities, namely Wi-Fi, iBeacons, barometer, step- and turn-detection.
The system was tested by omitting any time-consuming calibration process and starts with a uniform distribution instead of a well known pedestrian location.
The system was tested by omitting any time-consuming fingerprinting and calibration process and starts with a uniform distribution over the whole building instead of a well known pedestrian location.
The evaluation shows that adding prior knowledge is able to improve the localisation, even under unpredictable behaviour, faulty measurements and poorly chosen system parameters.
\end{abstract}