<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</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</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the Eight ACM International                  Conference on Mobile Computing and Networking                  (MOBICOM 2002)</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%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">September</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><publisher><style face="normal" font="default" size="100%">ACM Press</style></publisher><pub-location><style face="normal" font="default" size="100%">Atlanta, GE</style></pub-location><pages><style face="normal" font="default" size="100%">227-238</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 paper 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-linearity, 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-linear signals
  is a well-studied 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. 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%">inproceedings</style></work-type></record></records></xml>
