Robust Positioning with GPS and IMU data
External reference persons Stefano Feraco, Renato Galluzzi
Thesis type NUMERICAL AND EXPERIMENTAL
Description Considering the autonomous driving framework, the thesis activity is focused on the sensor fusion of IMU and GPS data in order to compute a robust positioning of the vehicle while driving. The algorithms will be tested and validated on a real self-driving racing vehicle.
Deadline 31/12/2020 PROPONI LA TUA CANDIDATURA