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Persoonlijk profiel

Research profile

Gijs Dubbelman is an Assistant Professor with the Video Coding and Architecture (VCA) group at Eindhoven University of Technology (TU/e)/ Here, he heads the Mobile Perception Systems (MPS) research cluster, which focuses on signal processing technologies that allow mobile sensor platforms to perceive the world around them. His areas of expertise include computer vision and multiple-view geometry and robotics and he has been working on topics such as large-scale visual-odometry, simultaneous localization and mapping, bundle adjustment and on-line camera re-calibration. Gijs also has a background in computer graphics, software engineering and project management.

Key research areas are computer vision, pattern recognition, robotics, and sensor fusion. Important application domain of MPS are automotive and transportation. Gijs’ line of research focuses on 3-D computer vision systems for autonomous robots and vehicles. He has designed and developed state-of-the-art computer vision algorithms for obstacle detection, ego-motion estimation, and simultaneous localization and mapping. He contributed the COP-SLAM algorithm for real-time embedded visual-SLAM to the scientific open-source project OpenSLAM.

Academic background

Gijs Dubbelman obtained his BSc in Information and Communication Technology and his MSc Degree cum laude in Artificial intelligence from the University of Amsterdam. In 2011 he obtained his PhD from the same university on the topic of intrinsic statistical techniques for robust pose estimation. He performed his PhD research on robust estimation of motion parameters from image data using intrinsic statistics in close cooperation with Intelligent Imaging department of the national organization of applied scientific research of the Netherlands (TNO), which funded the research. In 2011 and 2012 Gijs was a member of the internationally renowned Field Robotics Center of Carnegie Mellon's Robotics Institute. He worked in close collaboration with the National Robotics Engineering Center (NREC) and with CMU's Qatar campus. 

Vingerafdruk Duik in de onderzoeksthema's waar Gijs Dubbelman actief is. Deze onderwerplabels komen voort uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.

  • 2 Vergelijkbare profielen
Semantics Engineering en materiaalwetenschappen
Pixels Engineering en materiaalwetenschappen
Intelligent vehicle highway systems Engineering en materiaalwetenschappen
Labels Engineering en materiaalwetenschappen
Color Engineering en materiaalwetenschappen
Cameras Engineering en materiaalwetenschappen
Supervised learning Engineering en materiaalwetenschappen
Stereo vision Engineering en materiaalwetenschappen

Netwerk Recente externe samenwerking op landenniveau. Duik in de details door op de stippen te klikken.

Projecten 2016 2021

Onderzoeksoutput 2013 2019

A domain agnostic normalization layer for unsupervised adversarial domain adaptation

Romijnders, R. R. F. M., Meletis, P. & Dubbelman, G., 4 mrt 2019, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). Piscataway: Institute of Electrical and Electronics Engineers, blz. 1866-1875 10 blz. 8658995. (Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Network performance
Semantics
Neural networks
Experiments
2 Downloads (Pure)

An integrated framework for autonomous driving: object detection, lane detection, and free space detection

Kemsaram, N., Das, A. & Dubbelman, G., 31 jul 2019, 2019 Third World Conference on Smart Trends in Systems Security and Sustainablity (WorldS4). Yang, X-S., Dey, N. & Joshi, A. (redactie). Piscataway: Institute of Electrical and Electronics Engineers, blz. 260-265 6 blz. 8904020

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Open Access
Advanced driver assistance systems
Traffic signs
Motorcycles
Bicycles
Railroad tracks

Data selection for training semantic segmentation CNNs with cross-dataset weak supervision

Meletis, P., Romijnders, R. R. F. M. & Dubbelman, G., 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC). Piscataway: Institute of Electrical and Electronics Engineers, blz. 3682-3688 7 blz.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Semantics
Labels
Byproducts
Pixels

Development and analysis of a real-time system for automated detection of improvised explosive device indicators from ground vehicles

van de Wouw, D. W. J. M., ter Haar, F. B., Dubbelman, G. & de With, P. H. N., 1 jul 2019, In : Journal of Electronic Imaging. 28, 4, 16 blz., 043009.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

explosive devices
Ground vehicles
Real time systems
vehicles
change detection

From stixels to asteroids: towards a collision warning system using stereo vision

Sanberg, W., Dubbelman, G. & de With, P., 14 jan 2019, IS&T Electronic Imaging: Autonomous Vehicles and Machines. Society for Imaging Science and Technology, 6 blz. 034

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Open Access
Asteroids
Intelligent vehicle highway systems
Stereo vision
Alarm systems
Pattern recognition

Prijzen

Best paper award

Dennis van de Wouw (Ontvanger), M.A.R. Pieck (Ontvanger), G. Dubbelman (Ontvanger) & P.H.N. de With (Ontvanger), feb 2017

Prijs: AndersWerk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.)Wetenschappelijk

Cursussen

Advanced Automotive Sensing

1/09/18 → …

Cursus

Automotive sensing

1/09/14 → …

Cursus

Spectrum of Automotive

1/09/17 → …

Cursus

Impacten

Mobile Perception Systems

Gijs Dubbelman (Content manager)

Impact: Research Area

Bestand

Scriptie

Accurate object localization from a single image for pick-and-place robotics

Auteur: van Riel, S., 29 nov 2018

Begeleider: Dubbelman, G. (Afstudeerdocent 1) & Woudsma, T. (Externe persoon) (Externe coach)

Scriptie/masterproef: Master

A comparative study on modern lane detection algorithms

Auteur: van de Belt, B., 30 aug 2018

Begeleider: Dubbelman, G. (Afstudeerdocent 1) & Das, A. (Afstudeerdocent 2)

Scriptie/masterproef: Master

A domain agnostic normalization layer for unsupervised adversarial domain adaptation

Auteur: Romijnders, R., 30 aug 2018

Begeleider: Meletis, P. (Afstudeerdocent 1) & Dubbelman, G. (Afstudeerdocent 2)

Scriptie/masterproef: Master

An experimental framework for map-based relative localization in autonomous driving applications

Auteur: Gideon Devanesan, J., 19 dec 2017

Begeleider: Dubbelman, G. (Afstudeerdocent 1)

Scriptie/masterproef: Master

Design of a track detection algorithm for a driverless formula student racing car

Auteur: van der Smagt, T., 23 apr 2019

Begeleider: van de Molengraft, R. (Afstudeerdocent 1), Dubbelman, G. (Afstudeerdocent 2) & Barosan, I. (Afstudeerdocent 2)

Scriptie/masterproef: Master