Author: Francesco Verdoja
Master Thesis on “Anomaly detection in people flow through maps of dynamics”
People movement within a space can be modeled through the use of Maps of Dynamics (MoDs), i.e., probabilistic spatial representations modeling the local flow of people within an environment. Goal of this thesis is to explore whether MoDs can be used to detect anomalous behaviours in people flow.
Intelligent Robotics @ IROS 2024
The Intelligent Robotics Group will be at IROS 2024 with six conference papers and two workshops
Master thesis topics are out
Are you a student interested in working with real robots on a challenging master thesis? Check our the open topics!
Academy of Finland Research Fellowship awarded to the Hypermaps project
Francesco Verdoja was awarded a Research Fellowship on his project “Hypermaps: closing the complexity gap in robotic mapping”
Season-invariant GNSS-denied visual localization for UAVs
This repository contains data and code for manuscript J. Kinnari, F. Verdoja, V. Kyrki “Season-invariant GNSS-denied visual localization for UAVs”.
Video on “Probabilistic Surface Friction Estimation Based on Visual and Haptic Measurements”
Watch the video demonstration of our latest paper on friction coefficient estimation