University of Cambridge > > Computer Laboratory Digital Technology Group (DTG) Meetings > (Research) Pedestrian Localisation for Indoor Environments / (Skills) Atmel Programming

(Research) Pedestrian Localisation for Indoor Environments / (Skills) Atmel Programming

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Andrew Rice.

Research: Pedestrian Localisation for Indoor Environments, Oliver Woodman

Location information is an important source of context for ubiquitous computing systems. This paper looks at how a foot-mounted inertial unit, a detailed building model, and a particle filter can be combined to provide absolute positioning, despite the presence of drift in the inertial unit and without knowledge of the userĂ­s initial location. We show how to handle multiple floors and stairways, how to handle symmetry in the environment, and how to initialise the localisation algorithm using WiFi signal strength to reduce initial complexity. We evaluate the entire system experimentally, using an independent tracking system for ground truth. Our results show that we can track a user throughout a 8725 square metre building spanning three floors to within 0.5m 75% of the time, and to within 0.73m 95% of the time.

Skills: Atmel Programming, Brian Jones


This talk is part of the Computer Laboratory Digital Technology Group (DTG) Meetings series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2022, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity