Monte Carlo localization: efficient position estimation for mobile robots
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Pedestrian localisation for indoor environments
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Action capture with accelerometers
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Acquisition and Presentation of Diverse Spatial Context Data for Blind Navigation
MDM '11 Proceedings of the 2011 IEEE 12th International Conference on Mobile Data Management - Volume 01
IEEE Transactions on Information Technology in Biomedicine
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By implementing a combination of an activity recognition with a map-supported particle filter we were able to significantly improve the positioning of our navigation system for blind people. The activity recognition recognizes walking forward or backward, or ascending or descending stairs. This knowledge is combined with knowledge from the maps, i.e. the location of stairs. Different implementations of the particle filter were evaluated regarding their ability to compensate for sensor drift.