Our work has focused on: a) the development of indoor based localization systems exploiting received signal strength measurements and based on the indoor map information; b) the derivation of performance bounds for such systems; c) the development of data fusion algorithms for vehicular navigation; c) the development of filtering algorithms for inertial navigation.

Publications

  1. F. Montorsi, F. Pancaldi and G. M. Vitetta, “Reduced-complexity techniques for indoor map-aware localization,” 2015 IEEE International Conference on Communication Workshop (ICCW), 2015, pp. 766-772, doi: 10.1109/ICCW.2015.7247274.
  2. F. Montorsi, F. Pancaldi and G. M. Vitetta, “Map-Aware Models for Indoor Wireless Localization Systems: An Experimental Study,” in IEEE Transactions on Wireless Communications, vol. 13, no. 5, pp. 2850-2862, May 2014, doi: 10.1109/TWC.2014.040714.130893.
  3. F. Montorsi, S. Mazuelas, G. M. Vitetta and M. Win, “On the impact of a priori information on localization accuracy and complexity,” 2013 IEEE International Conference on Communications (ICC), 2013, pp. 5792-5797, doi: 10.1109/ICC.2013.6655520.
  4. F. Montorsi, F. Pancaldi and G. M. Vitetta, “Map-aware RSS localization models and algorithms based on experimental data,” 2013 IEEE International Conference on Communications (ICC), 2013, pp. 5798-5803, doi: 10.1109/ICC.2013.6655521.
  5. F. Montorsi, F. Pancaldi and G. M. Vitetta, “Design and implementation of an inertial navigation system for pedestrians based on a low-cost MEMS IMU,” 2013 IEEE International Conference on Communications Workshops (ICC), 2013, pp. 57-61, doi: 10.1109/ICCW.2013.6649201.
  6. Vitetta G, Baldini G. Theoretical framework for In-Car Navigation based on Integrated GPS/IMU Technologies. EUR 27042. Luxembourg (Luxembourg): Publications Office of the European Union; 2015. JRC93775