Projects per year
Organization 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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Network
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Profiles

Ariyan Bighashdel, MSc
- Department of Electrical Engineering, Video Coding & Architectures - Doctoral Candidate
- Department of Electrical Engineering, Mobile Perception Systems Lab
Person: Prom. : doctoral candidate (PhD)

Anweshan Das
- Department of Electrical Engineering, Mobile Perception Systems Lab
- Department of Electrical Engineering, Video Coding & Architectures - Doctoral Candidate
Person: Prom. : doctoral candidate (PhD)

Gijs Dubbelman
- Department of Electrical Engineering, Video Coding & Architectures - Assistant Professor
- Department of Electrical Engineering, Mobile Perception Systems Lab
Person: UD : Assistant Professor
Projects 2016 2021
5G-MOBIX
van Hout, J., Tafur Monroy, I., Kurtic - Brajic, M., Kurtic - Brajic, M., Calabretta, N., Johannsen, U., Okonkwo, C., Heemstra de Groot, S. M., Dubbelman, G., Kiss, D., Rommel, S., Cimoli, B., den Ouden, J., Sanders, R., Barros Carvalho, J. & Meyer, E.
Comm. European Communities (EEG)
1/11/18 → 31/10/21
Project: Research direct
PRYSTINE: PRogrammable sYSTems for INtelligence in AutomobilEs
Sartorius - ter Haar, M., Keijzers, A., Keijzers, A., Dubbelman, G., Das, A., Tigrek, R. & Bighashdel, A.
1/05/18 → 30/04/21
Project: Research direct
AUTOmated driving Progressed by Internet Of Things
Dubbelman, G., den Ouden, J., Dubbelman, G., Roomi Zadeh, A., van Hout, J., Keijzers, A. & Keijzers, A.
1/01/17 → 31/12/19
Project: Research direct
Research Output 2014 2019
ABC analysis of an aerospace business case on ALM echnologies in aerospace and defence supply chain
Kemsaram, N., Kishore Kumar Maley & Raghunandan Mahadevan, 29 Apr 2019, In : Small Enterprises Development, Management & Extension Journal. 46, 1, p. 24-34 11 p.Research output: Contribution to journal › Article › Professional
A domain agnostic normalization layer for unsupervised adversarial domain adaptation
Romijnders, R. R. F. M., Meletis, P. & Dubbelman, G., 4 Mar 2019, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). Piscataway: Institute of Electrical and Electronics Engineers, p. 1866-1875 10 p. 8658995. (Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
An integrated framework for autonomous driving: object detection, lane detection, and free space detection
Kemsaram, N., Das, A. & Dubbelman, G., 31 Jul 2019.Research output: Contribution to conference › Paper › Academic
Prizes
Best Paper Award
Willem P. Sanberg (Recipient), 17 Jan 2019
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
Press / Media
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
Design of a track detection algorithm for a driverless formula student racing car
Author: van der Smagt, T., 23 Apr 2019Supervisor: van de Molengraft, R. (Supervisor 1), Dubbelman, G. (Supervisor 2) & Barosan, I. (Supervisor 2)
Student thesis: Master
Lane detection and tracking for self-driving vehicles
Author: Szutenberg, M., 30 Sep 2019Supervisor: Das, A. (Supervisor 1) & Dubbelman, G. (Supervisor 2)
Student thesis: Master