Tutorial 1: Indoor localization and tracking: from theoretical foundations to practical applications

  • Monday, 23 June 2014, 09:00-12:50, Room Galilei



  • Davide Dardari (University of Bologna, Italy)
  • Benoît Denis (CEA-Leti Minatec, France)



Indoor localization and tracking has been gaining relevance due to widespread of devices and technologies, as well as the necessity of seamless solutions for location-based applications, for example, in the field of automated guided vehicles in manufacturing lines, radiofrequency identification (RFID), GPS-denied first-responder or personal navigation, asset navigation and tracking, indoor unmanned vehicles, people-movers, unprecedented services in the Internet of Things (IoT) or even optimized wireless connectivity. One current trend is to concentrate the positioning capabilities on smartphones for the detection and localization of energy autonomous tags making use of energy harvesting techniques. Therefore there is the need to design new technologies capable of providing both high-definition positioning accuracy and extremely low consumption and cost at tag side. Another trend is to optimally and opportunistically benefit from cooperation in daily-life heterogeneous wireless environments.
All this entails that the latest challenge in indoor localization and tracking is not only addressed to design specialized sensors for these tasks but also to figure out and implement data fusion methods using the already available technologies under practical connectivity conditions. Data fusion in indoor localization and tracking is indeed a key element for further advances of the field and presents exciting challenges for signal processing practitioners and researchers. Due to the large variety of technologies and standards involved, the in-depth understanding of the theoretical limits and the application of advanced statistical tools are thus of primary importance in the design of modern localization systems.
This tutorial addresses fundamentals, supporting technologies, and technical issues on indoor localization and tracking. An overview of the recent research trend is also given.