Geert De Cubber

TL;DR: An integrated data combination and data management architecture that is able to accommodate real‐time data gathered by a fleet of robotic vehicles on a crisis site, and which allows for reusing recorded exercises with real robots and rescue teams for training purposes and teaching search‐and‐rescue personnel how to handle the different robotic tools is presented.

TL;DR: The ICARUS EU-FP7 project deals with the development of a set of integrated components to assist search and rescue teams in dealing with the difficult and dangerous, but life-saving task of finding human survivors.

TL;DR: The introduced FCSOR represents an extension on the Statistical Outliers Removal (SOR) method which is effective for both homogeneous and heterogeneous point clouds and is evaluated on real data obtained in outdoor environment.

TL;DR: The second edition of the “drone-vs-bird” detection challenge is presented, which extends the first edition dataset provided by the SafeShore project with additional footage under different conditions.

TL;DR: The goal is to detect a drone appearing at some point in a video where birds may be also present: the algorithm should raise an alarm and provide a position estimate only when a drone is present, while not issuing alarms on birds.