Statistical mapping of real environments with uwb radars

In this master thesis I evaluated the performance of a Ultra-Wide Bandwidth (UWB) radar system for indoor environments mapping. In particular, I used a statistical Bayesian approach which is able to combine all the measurements collected by the radar, including system non-idealities such as the error on the estimated antenna pointing direction or on the estimated radar position. First I verified through simulations that the system was able to provide a sufficiently accurate reconstruction of the surrounding environment despite the limitations imposed by the UWB technology. In fact, the emission of UWB pulses is limited in terms of transmitted power by international regulations. Motivated by the promising results obtained through simulations, I successively carried out a measurement campaign in a real indoor environment using a UWB commercial device. The obtained results showed that the UWB radar system is capable of providing an accurate reconstruction of indoor environments also adopting not directional antennas.

Real Driving Emissions: analisi e sperimentazione di metodologie di selezione dei percorsi su strada e di definizione di cicli di laboratorio

La presente tesi si occupa di identificare la metodologia utilizzata per la definizione di percorsi Real Driving Emissions. Nel particolare sono stati individuati due percorsi, uno in piano, definite RDE Moderate Track ed uno in quota, definito RDE Extended Track. Si è anche eseguita una analisi dei cicli su banco a rulli NEDC e WLTC in ottica Real Driving Emissions.