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Personal profile

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.

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.

Fingerprint Dive into the research topics where Willem P. Sanberg is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Color Engineering & Materials Science
Supervised learning Engineering & Materials Science
Intelligent vehicle highway systems Engineering & Materials Science
Labels Engineering & Materials Science
Stereo vision Engineering & Materials Science
Information use Engineering & Materials Science
Processing Engineering & Materials Science
Computer vision Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2016 2019

Vision Inspired Driver Assistance Systems

van Hout, J., Keijzers, A., Keijzers, A., Dubbelman, G., Sanberg, W., den Ouden, J. & Das, A.

1/09/1631/08/19

Project: Research direct

Research Output 2013 2019

  • 31 Citations
  • 9 Conference contribution
  • 2 Chapter
  • 1 Poster

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 p. 034

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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

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. (eds.). Sétubal: SCITEPRESS-Science and Technology Publications, Lda., p. 250-259

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Pixels
Image registration
Cameras

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, p. 250-259 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Pixels
Image registration
Cameras
7 Citations (Scopus)

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, p. 54-61 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Stereo vision
Labels
Color
Experiments

Adding context information to video analysis for surveillance applications

Javanbakhti, S., Sanberg, W. P., Bao, X., van de Wouw, D. W. J. M., Creusen, I., Dubbelman, G., Hazelhoff, L., Zinger, S. & de With, P. H. N., 30 Aug 2016, Biometrics: concepts, methodologies, tools, and applications. s.l.: IGI Global, p. 1656-1700 45 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Semantics
Labeling
Traffic signs
Ships
Water

Prizes

Best Paper Award

Willem Sanberg (Recipient), 17 Jan 2019

Recognition: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

Student theses

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

Author: Sanberg, W., 30 Apr 2013

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

Student thesis: Master