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
Organisational 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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Ariyan Bighashdel, MSc
- Electrical Engineering, Mobile Perception Systems Lab
- Electrical Engineering, Video Coding & Architectures - University Researcher
Person: Prom. : doctoral candidate (PhD), OWP : University Teacher / Researcher
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Gijs Dubbelman
- Electrical Engineering, Mobile Perception Systems Lab
- Electrical Engineering,
- EAISI Mobility - Associate Professor
- EAISI Foundational - Associate Professor
Person: UHD : Associate Professor, UD : Assistant Professor
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Daan de Geus
- Electrical Engineering, Mobile Perception Systems Lab
- Electrical Engineering, Video Coding & Architectures - University Researcher
Person: Prom. : doctoral candidate (PhD), OWP : University Teacher / Researcher
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TOWR: 22.0024 TOWR CST
Steinbuch, M., de Vos, K., Steinbuch, M., van Rhijn, G. & den Ouden, J. H. V.
1/01/21 → 31/12/26
Project: Research direct
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PPS TKI NXP Smart Mobility VCA - mini Impuls
Dubbelman, G., de Geus, D. & Jancura, P.
2/01/18 → 30/11/23
Project: Research direct
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5G-MOBIX: 5G for cooperative & connected automated MOBIility on X-border corridors
Tafur Monroy, I., Calabretta, N., Johannsen, U., Okonkwo, C. M., Heemstra de Groot, S. M., Dubbelman, G., Patterson, D., Rommel, S., Cimoli, B., den Ouden, J. H. V., Sanders, R., Meyer, E., Jancura, P. & Sahinel, D.
1/11/18 → 30/09/22
Project: Research direct
Research output
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Advances in Perception for Automated Mobile Systems: Towards Annotation-affordable, High-level, and Holistic Scene Understanding
Lu, C., 25 Jan 2023, Eindhoven: Eindhoven University of Technology. 147 p.Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)
Open AccessFile -
Continual Pedestrian Trajectory Learning With Social Generative Replay
Wu, Y., Bighashdel, A., Chen, G., Dubbelman, G. & Jancura, P., 1 Feb 2023, In: IEEE Robotics and Automation Letters. 8, 2, p. 848-855 8 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Citations (Scopus)5 Downloads (Pure) -
Coordinating Fully-Cooperative Agents Using Hierarchical Learning Anticipation
Bighashdel, A., de Geus, D., Jancura, P. & Dubbelman, G., 15 Mar 2023, In: arXiv. 2023, 5 p., 2303.08307.Research output: Contribution to journal › Article › Academic
Open AccessFile2 Downloads (Pure)
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
Jancura, P. (Contributor) & Dubbelman, G. (Contributor), Zenodo, 7 Oct 2021
DOI: 10.5281/zenodo.7385730, https://zenodo.org/record/7385730
Dataset
Prizes
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Best Paper Award
Sanberg, Willem 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
Jos H.V. den Ouden (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
Jos H.V. den Ouden (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
Anweshan Das (Speaker)
20 Sept 2020Activity: Talk or presentation types › Contributed talk › Scientific
Press/Media
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Advances in Perception for Automated Mobile Systems
Peter H.N. de With, Gijs Dubbelman & Chenyang Lu
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)
Jos den Ouden, Arash Roomi Zadeh, Gijs Dubbelman & Marzieh Dolatabadi Farahani
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
Author: Engels, G., 30 Oct 2019Supervisor: Dubbelman, G. (Supervisor 1)
Student thesis: Master
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A hierarchical approach to Part-aware Panoptic Segmentation
Author: Verboeket, B. L. E., 27 Sept 2022Supervisor: Dubbelman, G. (Supervisor 1)
Student thesis: Master
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Deep learning for opponent action prediction in robot soccer middle size league
Author: van 't Klooster, M. E., 22 May 2018Supervisor: Dubbelman, G. (Supervisor 1) & Nijmeijer, H. (Supervisor 2)
Student thesis: Master
File