Geert De Cubber

Dr. Geert De Cubber

Mechanics, Royal Military Academy, Brussels, Brussels-Capital Region, Belgium
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2018 in IFAC-PapersOnLine
Verified
Journal Article
Closed access
HBHaris Balta
Haris Balta
JVJasmin Velagic
Jasmin Velagic
WBWalter Bosschaerts
Walter Bosschaerts
Geert De CubberGeert De Cubber
Geert De Cubber
BSBruno Siciliano
Bruno Siciliano

18 July 2016 in Journal of Field Robotics
Verified
Journal Article
Closed access
PDF file
HBHaris Balta
Haris Balta
JBJanusz Marian Bȩdkowski
Janusz Marian Bȩdkowski
SGShashank Govindaraj
Shashank Govindaraj
KMKarol Majek
Karol Majek
PMPawel Musialik
Pawel Musialik
Geert De CubberGeert De Cubber
Geert De Cubber

1 October 2013
Verified
Conference Paper
Closed access
Geert De CubberGeert De Cubber
Geert De Cubber
DDDaniela Doroftei
Daniela Doroftei
DSDaniel Serrano
Daniel Serrano
KCKeshav Chintamani
Keshav Chintamani
RSRui Sabino
Rui Sabino
SOStephane Ourevitch
Stephane Ourevitch
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. The ICARUS tools consist of assistive unmanned air, ground and sea vehicles, equipped with victim detection sensors. The unmanned vehicles collaborate as a coordinated team, communicating via ad-hoc cognitive radio networking. To ensure optimal human-robot collaboration, these tools are seamlessly integrated into the C4I (command, control, communications, computers, and intelligence) equipment of the human crisis managers and a set of training and support tools is provided to them to learn to use the ICARUS system.

1 September 2019
Verified
Conference Paper
Open access
ACAngelo Coluccia
Angelo Coluccia
Alessio FascistaAlessio Fascista
Alessio Fascista
ASArne Schumann
Arne Schumann
LSLars Sommer
Lars Sommer
MGMarian Ghenescu
Marian Ghenescu
IGIago Gonzalez
Iago Gonzalez
This paper presents the second edition of the “drone-vs-bird” detection challenge, launched within the activities of the 16-th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS). The challenge's goal is to detect one or more drones appearing at some point in video sequences where birds may be also present, together with motion in background or foreground. Submitted algorithms should raise an alarm and provide a position estimate only when a drone is present, while not issuing alarms on birds, nor being confused by the rest of the scene. This paper reports on the challenge results on the 2019 dataset, which extends the first edition dataset provided by the SafeShore project with additional footage under different conditions.

23 August 2017
Verified
Book Chapter
Open access
PDF file
Geert De CubberGeert De Cubber
Geert De Cubber
DDDaniela Doroftei
Daniela Doroftei
KRKonrad Rudin
Konrad Rudin
KBKarsten Berns
Karsten Berns
AMAnibal Matos
Anibal Matos
SOStephane Ourevitch
Stephane Ourevitch
Modern search and rescue workers are equipped with a powerful toolkit to address natural and man-made disasters. This introductory chapter explains how a new tool can be added to this toolkit: robots. The use of robotic assets in search and rescue operations is explained and an overview is given of the worldwide efforts to incorporate robotic tools in search and rescue operations. Furthermore, the European Union ICARUS project on this subject is introduced. The ICARUS project proposes to equip first responders with a comprehensive and integrated set of unmanned search and rescue tools, to increase the situational awareness of human crisis managers, such that more work can be done in a shorter amount of time. The ICARUS tools consist of assistive unmanned air, ground, and sea vehicles, equipped with victim-detection sensors. The unmanned vehicles collaborate as a coordinated team, communicating via ad hoc cognitive radio networking. To ensure optimal human-robot collaboration, these tools are seamlessly integrated into the command and control equipment of the human crisis managers and a set of training and support tools is provided to them to learn to use the ICARUS system.

1 August 2017
Verified
Conference Paper
Open access
ACAngelo Coluccia
Angelo Coluccia
MGMarian Ghenescu
Marian Ghenescu
TPTomas Piatrik
Tomas Piatrik
Geert De CubberGeert De Cubber
Geert De Cubber
ASArne Schumann
Arne Schumann
MBMichael Blumenstein
Michael Blumenstein
Small drones are a rising threat due to their possible misuse for illegal activities, in particular smuggling and terrorism. The project SafeShore, funded by the European Commission under the Horizon 2020 program, has launched the “drone-vs-bird detection challenge” to address one of the many technical issues arising in this context. 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. This paper reports on the challenge proposal, evaluation, and results.