Luca Caltagirone is a PhD student in the Adaptive systems group. His project is about vehicle self-localization and scene understanding using machine learning (especially deep neural networks) and biologically inspired algorithms. The goal of his project is to develop systems that can estimate a heavy-duty vehicle’s pose and that can provide information about its surroundings (e.g., road curvature, drivable surface) using on-board sensors, V2X communication, and map data, in order to perform reliable autonomous lateral control under a variety of environmental conditions and vehicle combinations. The project is in collaboration with Volvo Trucks AB.
​Autonomous agents, Stochastic optimization algorithms

Published: Mon 04 Sep 2017.