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Persoonlijk profiel

Academic background

Willem Sanberg received both his BSc. (2011) and his MSc.-degree (2013) in Electrical Engineering and a certificate in Technical Management (2011) from Eindhoven University of Technology (TU/e) in the Netherlands. Furthermore, he was active in committees and boards of a student association for several years, a member of University Racing Eindhoven for two years and a student-assistant at the electronics lab of Industrial Design for two years as well. During his MSc.-education, he was an intern at Philips Research for several months, developing an AdaBoost detector for facial hair detection in 3D face meshes. He graduated on the topic of Graph-based Multi-Modal segmentation at the VCA research group. After his graduation, he stayed with VCA as a PhD candidate. His current research is aimed at improving sensing capabilities of mobile platforms using multiple sensors that capture different modalities. On such platform, data should be captured and processed in real-time, so efficient data fusion methods –both in time and over modalities- will need to be developed.

Research profile

Willem's current research addresses improving the perception of Advanced Driver Assistance Systems (ADAS) for intelligent vehicles. His main sensors of interest are stereo vision cameras, providing rich and dense data on the appearance and geometry of traffic scenes.

He works on algorithms that leverage those two data stream individually and combined to improve free-space segmentation. The core is a self-supervised method that adapts itself to the changing scenery while the vehicle is driving, which offers a trade-off between efficient processing and flexibility to new environments. It is a combination of classical computer vision and trendy convolutional neural nets.

Additionally, his recent works looks into the dual problem of free-space segmentation: object detection. It encompasses a collision warning system based on stereo vision.

Quote

I love it when a paper comes together. … if a paper comes together.

Vingerafdruk Verdiep u in de onderzoeksgebieden waarop Willem P. Sanberg actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.

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Projecten

Onderzoeksoutput

  • 39 Citaties
  • 9 Conferentiebijdrage
  • 2 Hoofdstuk
  • 1 Poster
  • 1 Tijdschriftartikel

ASTEROIDS: A Stixel Tracking Extrapolation-based Relevant Obstacle Impact Detection System

Sanberg, W. P., Dubbelman, G. & de With, P. H. N., 13 mei 2020, (Geaccepteerd/In druk) In : IEEE Transactions on Intelligent Vehicles.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

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

    Sanberg, W., Dubbelman, G. & de With, P., 13 jan 2019, IS&T Electronic Imaging: Autonomous Vehicles and Machines. Society for Imaging Science and Technology, 6 blz. 034. (Electronic imaging).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Open Access
  • Fast 3D scene alignment with stereo images using a stixel-based 3D model

    van de Wouw, D. W. J. M., Sanberg, W. P., Dubbelman, G. & de With, P. H. N., 2018, Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - (Volume 4) . Tremeau, A., Imai, F. & Braz, J. (redactie). Sétubal: SCITEPRESS-Science and Technology Publications, Lda., blz. 250-259

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • 1 Downloads (Pure)

    Fast 3D scene alignment with stereo images using a Stixel-based 3D model

    Van De Wouw, D. W. J. M., Sanberg, W. P., Dubbelman, G. & De With, P. H. N., 27 jan 2018, VISAPP 2018. SCITEPRESS-Science and Technology Publications, Lda., Vol. 4. blz. 250-259 10 blz.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • 2 Citaten (Scopus)
    3 Downloads (Pure)

    Free-space detection with self-supervised and online trained fully convolutional networks

    Sanberg, W. P., Dubbelman, G. & de With, P. H. N., 29 jan 2017, IS&T International Symposium on Electronic Imaging 2017, 29 january - 2 February 2017, Burlingame, California: Autonomous Vehicles and Machines. San Francisco: Society for Imaging Science and Technology, blz. 54-61 8 blz.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Open Access
    Bestand
  • 8 Citaten (Scopus)
    20 Downloads (Pure)

    Prijzen

    Best Paper Award

    Willem P. Sanberg (Ontvanger), 17 jan 2019

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

    Scriptie

    Multi-modal graph-based segmentation in a 3D reconstruction context

    Auteur: Sanberg, W., 30 apr 2013

    Begeleider: de With, P. (Afstudeerdocent 1), Zinger, S. (Afstudeerdocent 2) & Do, Q. (Afstudeerdocent 2)

    Scriptie/masterproef: Master