Autonomous Vehicles & Artificial Intelligence Laboratory (AVAILab)

Multidisciplinary laboratory focused on developments and applications within the fields of Mathematical Modelling, Optimisation, Soft & Natural Computing, Self-Organisation & Swarm Robotics, Autonomous Navigation, Computer Vision, and Positioning Systems.

UWB-Based Indoor Positioning System

Lead ResearcherDr Mauro S. Innocente
Researcher: Paolo Grasso

Derived Publications

  1. P. Grasso, & M.S. Innocente (2020). Debiasing of position estimations of UWB-based TDoA indoor positioning system. In Proceedings of the 2020 UK-RAS Conference: ‘Robots into the Real World’, Lincoln, UK (virtual), 2020.
    DOI: 10.31256/Ua2Vp3X
  2. P. Grasso, & M.S. Innocente (2020). Theoretical study of signal and geometrical properties of two-dimensional UWB-based indoor positioning systems using TDoA. In Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, Barcelona, Spain, 2020.
    DOI: 10.1109/ICMRE49073.2020.9065121
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