Projects per year
Organisation profile
Introduction / mission
The Mobile Perception Systems Lab researches methods in Artificial Intelligence that allow mobile autonomous systems to perceive their environment. Our long-term goal is to realize AI that can anticipate on future events in highly dynamic and complex environments. We always validate our AI methods 'in the loop', meaning in the context of challenging real-world applications, mainly from the industry domains of automotive, transportation, and logistics.
MPS is part of the Signal Processing Systems group and we work closely with the Embedded Systems group, the Dynamics and Control group, the Control Systems Technology group, and the TU/e-wide Strategic Area for Smart Mobility.
Highlighted phrase
Perception Through Anticipation
Organisation profile
The MPS lab specializes in the following AI methods: deep learning, multi-modal computer vision, and simultaneous localization and mapping. These are key enabling technologies that allow mobile sensor platforms to perceive and interpret their environments from past and current sensory data, in essence estimating a dynamic digital world-model in real-time. In coming years, we aim to make a step in the direction of spatio-temporal reasoning engines that allow mobile sensor platforms to predict possible future events and thereby achieve anticipation capabilities. Currently, the lack of anticipation capabilities, is a key bottleneck in deploying mobile autonomous systems in complex and dynamic environments, such as self-driving cars in crowded inner cities. We firmly believe that in order to advance AI and its applications, both an inter-disciplinary approach and a strong cooperation with industry are required. Hence, we are involved in many cross-disciplinary European projects and initiatives, such as the International Connected and Automated Driving Institute (https://icadi.net), and we recently started the company AI In Motion to bring our technologies to the market (https://aiim.ai).
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Collaborations and top research areas from the last five years
Profiles
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Gijs Dubbelman
- EAISI Foundational - Associate Professor
- EAISI Mobility - Associate Professor
- Electrical Engineering, Mobile Perception Systems Lab
Person: UHD : Associate Professor
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Daan de Geus
- Electrical Engineering, Mobile Perception Systems Lab
- Electrical Engineering, Video Coding & Architectures - Assistant Professor
Person: Prom. : doctoral candidate (PhD), UD : Assistant Professor
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Jos H.V. den Ouden, MSc
- Electrical Engineering, Mobile Perception Systems Lab
- Electrical Engineering, Video Coding & Architectures - Project Manager
Person: OBP : Supportive and management staff
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ROBUST AI: Explainable AI for Autonomous Vehicles
Zednik, C. (Project Manager), Ghezzi, M. (Project member) & van Broeckhoven, B. (Project member)
1/09/22 → 31/08/27
Project: Second tier
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TOWR: 22.0024 TOWR CST
den Ouden, J. H. V. (Project communication officer), van de Molengraft, M. J. G. (Project Manager), de Vos, K. (Project member), van Rhijn, G. (Project member) & Steinbuch, M. (Project member)
1/01/21 → 30/04/27
Project: Third tier
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5G-MOBIX: 5G for cooperative & connected automated MOBIility on X-border corridors
Tafur Monroy, I. (Project Manager), Calabretta, N. (Project member), Johannsen, U. (Project member), Okonkwo, C. M. (Project member), Heemstra de Groot, S. M. (Project member), Dubbelman, G. (Project member), Patterson, D. (Project member), Rommel, S. (Project member), Cimoli, B. (Project member), den Ouden, J. H. V. (Project member), Sanders, R. (Project communication officer), Meyer, E. (Project member), Jancura, P. (Project member) & Sahinel, D. (Project member)
1/11/18 → 30/09/22
Project: Research direct
Research output
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Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Martin Garcia, G., Abou Zeid, K., Schmidt, C., de Geus, D., Hermans, A. & Leibe, B., 8 Apr 2025, 2025 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025. Institute of Electrical and Electronics Engineers, p. 753-762 10 p. 10943344Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access -
The BRAVO Semantic Segmentation Challenge Results in UNCV2024
Vu, T.-H. (Corresponding author), Valle, E., Bursuc, A., Kerssies, T., de Geus, D., Dubbelman, G., Qian, L., Zhu, B., Chen, Y., Tang, M., Wang, J., Vojíř, T., Šochman, J., Matas, J., Smith, M., Ferrie, F., Basu, S., Sakaridis, C. & Van Gool, L., 12 May 2025, Computer Vision – ECCV 2024 Workshops: Milan, Italy, September 29–October 4, 2024, Proceedings, Part XVII. Del Bue, A., Canton, C., Pont-Tuset, J. & Tommasi, T. (eds.). Cham: Springer, p. 290-306 17 p. (Lecture Notes in Computer Science (LNCS); vol. 15639).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access -
Advances in Behavior Prediction Techniques for Intelligent Systems
Bighashdel, A., 20 Mar 2024, Eindhoven: Eindhoven University of Technology. 216 p.Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)
Open AccessFile
Datasets
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[Re] Object Detection Meets Knowledge Graphs - Supporting Datasets
Lemmens, J. (Creator), Jancura, P. (Creator), Dubbelman, G. (Creator) & Elforai, H. (Creator), Zenodo, 7 Oct 2021
Dataset
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[Re] Object Detection Meets Knowledge Graphs - Supporting Datasets
Lemmens, J. L. A. (Creator), Jancura, P. (Contributor), Dubbelman, G. (Contributor) & Elforai, H. (Creator), Zenodo, 7 Oct 2021
DOI: 10.5281/zenodo.7385730, https://zenodo.org/record/7385730
Dataset
Prizes
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Best Paper Award
Sanberg, W. P. (Recipient), 17 Jan 2019
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
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Festival of Disruption
den Ouden, J. H. V. (Organiser)
13 Oct 2022Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Professional
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Webinar 5G-MOBIX Netherlands Trial Site's results and lessons learnt on 5G for CAM
den Ouden, J. H. V. (Contributor)
23 Jun 2022Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
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Towards averaging out GNSS bias using visual SLAM
Das, A. (Speaker)
20 Sept 2020Activity: Talk or presentation types › Contributed talk › Scientific
Press/Media
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Advances in Perception for Automated Mobile Systems
de With, P. H. N. & Dubbelman, G.
26/01/23
1 item of Media coverage
Press/Media: Expert Comment
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Use case: Remote driving with interconnected 5G networks
11/03/21
1 Media contribution
Press/Media: Research
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Testrit op TU Eindhoven: Plankgas naar de toekomst in auto die zelfstandig rijdt (Dutch only)
den Ouden, J., Roomi Zadeh, A., Dubbelman, G. & Dolatabadi Farahani, M.
17/09/18
1 item of Media coverage
Press/Media: Public Engagement Activities
Student theses
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3D Object Detection From LiDAR data using Distance Depended Feature Extraction
Engels, G. (Author), Dubbelman, G. (Supervisor 1), 30 Oct 2019Student thesis: Master
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A hierarchical approach to Part-aware Panoptic Segmentation
Verboeket, B. L. E. (Author), Dubbelman, G. (Supervisor 1), 27 Sept 2022Student thesis: Master
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Deep learning for opponent action prediction in robot soccer middle size league
van 't Klooster, M. E. (Author), Dubbelman, G. (Supervisor 1) & Nijmeijer, H. (Supervisor 2), 22 May 2018Student thesis: Master
File