---
res:
  bibo_abstract:
  - In this paper we present a system for car navigation by fusing sensor data on
    an Android smartphone. The key idea is to use both the internal sensors of the
    smartphone (e.g., gyroscope) and sensor data from the car (e.g., speed information)
    to support navigation via GPS. To this end we employ a CAN-Bus-to-Bluetooth adapter
    to establish a wireless connection between the smartphone and the CAN-Bus of the
    car. On the smartphone a strapdown algorithm and an error-state Kalman filter
    are used to fuse the different sensor data streams. The experimental results show
    that the system is able to maintain higher positioning accuracy during GPS dropouts,
    thus improving the availability and reliability, compared to GPS-only solutions.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Oliver
      foaf_name: Walter, Oliver
      foaf_surname: Walter
  - foaf_Person:
      foaf_givenName: Joerg
      foaf_name: Schmalenstroeer, Joerg
      foaf_surname: Schmalenstroeer
      foaf_workInfoHomepage: http://www.librecat.org/personId=460
  - foaf_Person:
      foaf_givenName: Andreas
      foaf_name: Engler, Andreas
      foaf_surname: Engler
  - foaf_Person:
      foaf_givenName: Reinhold
      foaf_name: Haeb-Umbach, Reinhold
      foaf_surname: Haeb-Umbach
      foaf_workInfoHomepage: http://www.librecat.org/personId=242
  dct_date: 2012^xs_gYear
  dct_language: eng
  dct_subject:
  - Smartphone
  - navigation
  - sensor fusion
  dct_title: Smartphone-Based Sensor Fusion for Improved Vehicular Navigation@
...