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Collaborations and top research areas from the last five years
Profiles
Projects
- 1 Finished
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Shape-IT: Shape-IT: Supporting the interaction of Humans and Automated vehicles: Preparing for the EnvIronment of Tomorrow
de Winter, J. C. F., Tabone, W., Berge, S. H., He, X., Kalantari, A. H., Dodou, D., Happee, R., Lupetti, M. L. & Hagenzieker, M. P.
1/10/19 → 31/03/24
Project: Research
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Enhancing the dependability of autonomous surface vehicles through robustness benchmarking of real-time object detection models
Wang, Y., Zhang, Z., Wang, K., Caesar, H., Boydens, J., Pissoort, D. & Verbeke, M., 2026, In: Expert Systems with Applications. 296, 18 p., 129151.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Motion Perception and Sickness Modelling and Prediction for Automated Driving and Simulators
Kotian, V., 2026, 249 p.Research output: Thesis › Dissertation (TU Delft)
Open AccessFile2 Downloads (Pure) -
Optimal-Coupling-Observer AV Motion Control Securing Comfort in the Presence of Cyber Attacks
Tajdari, F., Papaioannou, G. & Happee, R., 2026, In: IEEE Transactions on Intelligent Transportation Systems. 27, 1, p. 1426-1441 16 p.Research output: Contribution to journal › Article › Scientific › peer-review
Datasets
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RaDelft Dataset: a large-scale, real-life, and multi-sensor automotive dataset
Palffy, A. (Creator), Fioranelli, F. (Creator), Gavrila, D. (Creator), Kooij, J. F. P. (Creator), Roldan Montero, I. (Creator), Yuan, S. (Creator), Zhu, S. (Creator) & Yarovoy , A. (Creator), TU Delft - 4TU.ResearchData, 28 May 2024
DOI: 10.4121/4E277430-E562-4A7A-ADFE-30B58D9A5F0A
Dataset/Software: Dataset
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Cyclistsocialforce: Modified Social Forces for Cyclists with Realistic Dynamics in SUMO
Konrad, C. M. (Creator), Moore, J. K. (Contributor), Dabiri, A. (Contributor), Schulte, F. (Contributor) & Happee, R. (Contributor), GitHub, 5 Jul 2023
https://github.com/chrismo-schmidt/cyclistsocialforce
Dataset/Software: Software
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Supplementary material for the paper: Take over! A video-clip study measuring attention, situation awareness, and decision-making in the face of an impending hazard.
Lu, Z. (Creator) & de Winter, J. C. F. (Creator), TU Delft - 4TU.ResearchData, 26 May 2020
DOI: 10.4121/UUID:A1F0AD0F-0033-431F-8A90-0EFCAE37DD6A
Dataset/Software: Dataset
Prizes
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2022 IROS CPRB Outstanding Reviewer Award
Kooij, J.F.P. (Recipient), 23 Oct 2022
Prize: Other distinction
Activities
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Invited talk at DDIVA workshop, IEEE IV Symposium 2023
J.F.P. Kooij (Speaker)
4 Jun 2023Activity: Talk or presentation › Talk or presentation at a workshop, seminar, course or other meeting
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Unsupervised Learning for Automated Driving (ULAD) at IEEE Intelligent Vehicles Symposium 2022
J.F.P. Kooij (Chair of programme committee)
5 Jun 2022Activity: Participating in or organising an event › Participation in workshop, seminar, course
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Invited talk at Autonomy@Scale workshop, IEEE IV Symposium 2021
J.F.P. Kooij (Speaker)
11 Jul 2021Activity: Talk or presentation › Talk or presentation at a workshop, seminar, course or other meeting
Press/Media
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Shaping the future of Artificial Intelligence (AI) in Mobility
Serge Hoogendoorn, Geert-Jan Houben, Hans van Lint, Tina Comes, Sascha Hoogendoorn-Lanser, R.L. Lagendijk, Marco Hennipman, Emir Demirović, Mark Hünneman, Eelco Thiellier, Yanan Xin, Holger Caesar, Edwin Nas, Arkady Zgonnikov, Simeon Calvert, Robert Jan ter Kuile , Nathalie Niessen, Marco Schreuder, Olaf Vroom, Sebastian Schwinn, Neil Yorke-Smith, Mahnam Saeednia & Gerard Kuijlaars
6/05/25
1 Media contribution
Press/Media: Public Engagement
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Toekomstbeloftes: Dit is er van de futuristische voorspellingen voor 2020 terechtgekomen
3/01/20
1 item of Media coverage
Press/Media: Public Engagement