<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ladd, A. M.</style></author><author><style face="normal" font="default" size="100%">Kostas E. Bekris</style></author><author><style face="normal" font="default" size="100%">Rudys, A.</style></author><author><style face="normal" font="default" size="100%">Marceau, G.</style></author><author><style face="normal" font="default" size="100%">L. E. Kavraki</style></author><author><style face="normal" font="default" size="100%">Wallach, D. S.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Robotics-Based Location Sensing using Wireless                  Ethernet (Invited)</style></title><secondary-title><style face="normal" font="default" size="100%">Wireless Networks (The Journal of Mobile Communication, Computation and Information)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">kavrakilab</style></keyword><keyword><style  face="normal" font="default" size="100%">localization using wireless ethernet</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">January</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://doi.acm.org/10.1145/570645.570674</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">1-2</style></number><volume><style face="normal" font="default" size="100%">11</style></volume><pages><style face="normal" font="default" size="100%">189-204</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">A key subproblem in the construction of location-aware
  systems is the determination of the position of a mobile
  device. This article describes the design, implementation and
  analysis of a system for determining position inside a building from
  measured RF signal strengths of packets on an IEEE 802.11b wireless
  Ethernet network. Previous approaches to location-awareness with RF
  signals have been severely hampered by non-Gaussian signals, noise,
  and complex correlations due to multi-path effects, interference and
  absorption. The design of our system begins with the observation
  that determining position from complex, noisy and non-Gaussian
  signals is a wellstudied problem in the field of robotics. Using
  only off-the-shelf hardware, we achieve robust position estimation
  to within a meter in our experimental context and after adequate
  training of our system. We can also coarsely determine our
  orientation and can track our position as we move. Our results show
  that we can localize a stationary device to within 1.5 meters over
  80\% of the time and track a moving device to within 1 meter over
  50\% of the time. Both localization and tracking run in
  real-time. By applying recent advances in probabilistic inference of
  position and sensor fusion from noisy signals, we show that the RF
  emissions from base stations as measured by off-the-shelf wireless
  Ethernet cards are sufficiently rich in information to permit a
  mobile device to reliably track its location.</style></abstract><work-type><style face="normal" font="default" size="100%">article</style></work-type></record></records></xml>
