Centre for Automation and Robotics (CSIC-UPM) (CAR)

CSIC performs both the basic research and the technological development in the area of Indoor Positioning Systems
(IPS) capable of locating, tracking, and guiding people in GPS-denied environments, where satellite-based
localization is not operative or reliable enough.

CSIC can work on the generation of models for localization sensors (based on range estimates or received signal
strength fingerprints), as well as models for wearable inertial measurement units, which permit as accurate as
possible estimates of user location and motion within the monitoring environment. We can use dead reckoning
information obtained from wearable inertial sensors (foot-mounted, or attached to wearables or smartphones), and
fuse these sensorial inputs within a Bayesian framework, which permits further integration of other information,
such as provided by time-of-flight (ranges), signals of opportunity, maps of the environment, or activity recognition,
etc, if available and required. The ultimate goal in, e.g. first-responders security use cases, is to improve the
tracking performance and intelligence of a squad mission like firefighters interventions.