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 - Doctoral Candidate
Person: Prom. : doctoral candidate (PhD)
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Anweshan Das
- Electrical Engineering, Mobile Perception Systems Lab
- Electrical Engineering, Video Coding & Architectures - Doctoral Candidate
Person: Prom. : doctoral candidate (PhD)
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Gijs Dubbelman
- Electrical Engineering, Mobile Perception Systems Lab
- Electrical Engineering, Video Coding & Architectures - Assistant Professor
Person: UD : Assistant Professor
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5G-MOBIX
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., Sanders, R., Meyer, E., Jancura, P., Xue, X., Cardarelli, S. & Sahinel, D.
1/11/18 → 31/07/22
Project: Research direct
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PRYSTINE: PRogrammable sYSTems for INtelligence in AutomobilEs
Dubbelman, G., Das, A., Bighashdel, A., Roomi Zadeh, A. & Meletis, P.
1/05/18 → 31/10/21
Project: Research direct
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AUTOmated driving Progressed by Internet Of Things
Dubbelman, G., den Ouden, J., Dubbelman, G. & Roomi Zadeh, A.
1/01/17 → 29/02/20
Project: Research direct
Research output
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ASTEROIDS: A Stixel Tracking Extrapolation-based Relevant Obstacle Impact Detection System
Sanberg, W. P., Dubbelman, G. & de With, P. H. N., Mar 2021, In: IEEE Transactions on Intelligent Vehicles. 6, 1, p. 34-46 13 p., 9085910.Research output: Contribution to journal › Article › Academic › peer-review
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Pose-graph based Crowdsourced Mapping Framework
Das, A., IJsselmuiden, J. & Dubbelman, G., 1 Feb 2021.Research output: Contribution to conference › Paper › Academic
Open Access -
Real-Time Vehicle Positioning and Mapping Using Graph Optimization
Das, A., Elfring, J. & Dubbelman, G., 16 Apr 2021, In: Sensors (Switzerland). 21, 8, 23 p., 2815.Research output: Contribution to journal › Article › Academic › peer-review
Open Access
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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Towards averaging out GNSS bias using visual SLAM
Anweshan Das (Speaker)
20 Sep 2020Activity: Talk or presentation types › Contributed talk › Scientific
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The Netherlands Conference on Computer Vision 2018
Anweshan Das (Organiser)
26 Sep 2018 → 27 Sep 2018Activity: Participating in or organising an event types › Conference › Scientific
Press/Media
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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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‘The brain of a self-driving car learns just like a child’
3/11/20
1 item of Media coverage
Press/Media: Expert Comment
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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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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
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Forecasting Instance Segmentation of Urban Street Scenes
Author: van de Gevel, N., 31 May 2021Supervisor: Dubbelman, G. (Supervisor 1)
Student thesis: Master
File -
Gyro: an Event-Driven Digital Architecture for Spiking Deep Belief Networks
Author: Adriaans, G. L., 18 Aug 2020Supervisor: Stuijk, S. (Supervisor 1), Corradi, F. (External person) (External coach), Corporaal, H. (Supervisor 2) & Dubbelman, G. (Supervisor 2)
Student thesis: Master