Indoor Positioning at Low speed
Online February 4th, 2021 09.00 - 17.00h See you next year?
See you next year?

Indoor Positioning at Low speed

Develop a prototype indoor positioning system for low speed robot/automotive application, using UWB/Pozyx focusing on improving its accuracy by taking into account other data sources, like odometry and knowledge of the vehicle itself. The research questions that accompany this design challenge are:

  • What are additional information sources needed to improve indoor positioning with UWB?
  • How to apply Kalman or particle filters in context of UWB and positioning? This requires Kalman filter (E/U KF) or particle filter mathematics and (vehicle) modelling.