[BEAMS-EE-FQ] Vehicle localization in underground tunnels using ultra-wideband ranging
Localization of vehicles relies largely on GNSS technology, such as GPS, Galileo or Glonass. However, GNSS system are unreliable in tunnels as the satellite signals cannot be received in underground environment. This is a real problem for train and metro systems, which require accurate localization of their vehicles in order to increase the frequency of the vehicles.
Ultra-wideband (UWB) is an emerging wireless technology that allows to estimate the distance between two UWB tags with centimeter-like accuracy. UWB has reached the level of maturity required to use it in modern transportation systems.
Master Thesis description
The aim of this thesis is to enable localization of vehicles in underground environments. We will deploy up to four UWB tags in the underground environments, and one UWB tag in one (or multiple) vehicles. The student will have to program the embedded microcontrollers to allow to use the UWB ranging. This will be done in C++ or Python. In a second stage, the student will have to implement the localization algorithms (and associated tracking filters) to allow a vehicle to localize itself based on the different UWB readings. The system will be tested with a car in an underground parking, and (pending authorization from the operator) in an underground tram in Brussels.
Supervisor(s): Prof. François Quitin
Information : François Quitin (fquitin [at] ulb [dot] ac [dot] be) Tel : 02-650-2829, BEAMS Department
Students : ELEC, INFO, EM