@inproceedings{dlr88659,
  author = {Estefania Muņoz Diaz and Ana Luz Mendiguch\'{i}a Gonzalez and Fabian de Ponte M\"{u}ller},
  title = {{Standalone Inertial Pocket Navigation System}},
  year = {2014},
  month = {May},
  abstract = {{Positioning applications are being more important in recent years not only for security applications, but also for the mass market. Having a pedestrian navigation system embedded in a mobile phone is a realistic solution since they are equipped with low-cost sensors and handheld is a non-obstructive location. Four different handheld positions can be distinguished, i.e. pocket or bag, phoning, texting and swinging. We present a standalone inertial pocket navigation system. It only requires introducing the inertial measurement unit in the trousers' pocket and walking freely. For the orientation computation, we have developed an attitude estimator based on an unscented Kalman filter. The update stage has two different updates based on the acceleration and the magnetic field. Therefore, a zero acceleration detector, a magnetic disturbances detector and a static periods detector have been developed. The odometry in our navigation system is computed through an extended Kalman filter. The position is predicted with a movement model which is periodically updated through position corrections computed by the position computer. It comprises a step detector and a step length estimator based on the norm of the acceleration. The performance of our attitude estimator in comparison with the ground truth orientation is shown. The rest of the handheld positions are also tested for orientation. Likewise, we show pocket odometries of different users with the floor plan superimposed.}},
  address = {Monterey, USA},
  booktitle = {Position, Location and Navigation Symposium - PLANS 2014},
  doi = {10.1109/PLANS.2014.6851382},
  pages = {241-251},
  publisher = {IEEE},
}