AUDRI AI Lab
AUDRI is ºÚÁϸ£Àû꿉۪s university-wide lab for autonomous driving research. It focuses on AI technologies that enable vehicles to navigate safely and responsibly. AUDRI is an initiative of EAISI – the Eindhoven AI Systems Institute.
If you are interested in knowing more about the lab or see ways you would like
to contribute, contact us.
AUDRI Lab Research & Facilities
AUDRI conducts AI research in:
- Advanced, end-to-end, data-driven AI
- AI world models and reasoning models
- Perception, mapping, and localization
- Decision making, planning, and control
- Human-AI interaction
- AI testing, validation, and certification
AUDRI offers a unique, fully-integrated AI-research environment with:
- Full-stack, open-source E2E AD vehicles
- Driving data, E2E DNN models, and HPC
- Campus testbed with HD maps
- AI Digital Twin of the entire ºÚÁϸ£ÀûÍø campus
- Driving- and scaled-vehicle simulators
Meet the AUDRI Lab
In this video, you can get a glimpse of the AUDRI AI lab and see what is happening in this episode of ºÚÁϸ£ÀûÍø's Stay ºÚÁϸ£ÀûÍøned.
FULL-STACK OPEN-SOURCE VEHICLES
AUDRI has AD-AI vehicles based on E2E Autoware, providing seamless ROS 2 integration in an L4 stack.
Autoware supports road-legal deployment, and ºÚÁϸ£ÀûÍø is an Autoware Center of Excellence.
360â—¦ sensors
- Vision
- Radar
- Lidar
- Thermal
AUDRI digital infrastructure
Naturalistic driving data – AI models
AUDRI collects real-world driving data on the ºÚÁϸ£ÀûÍø campus to support research on AD-AI architectures.
ºÚÁϸ£ÀûÍø has SPIKE1 - an AI supercomputer - for training AD-AI foundation models, and fine-tuned models are readily available.
Campus with HD maps – AI digital twin
ºÚÁϸ£Àû꿉۪s campus serves as a testbed for AD-AI vehicles, featuring HD maps and multi-modal localization.
A real-time AD-AI Digital Twin enables safe and efficient X-in-the-Loop (XiL) testing of edge cases.
Our Projects
Magpie project video
Working with ºÚÁϸ£ÀûÍø in European projects is instrumental in achieving our Automated Driving goals.
Guus Arts
Project Manager, Advanced Technology, DAF Trucks N.V.
THE AUDRI TEAM
Gijs Dubbelman Research Director
Anweshan Das Head of In-vehicle systems
Pavol Jancura Head of Machine Learning Operations
ML Engineer
Industrial Design Department
Marieke Martens Human and Societal Factors
Pavlo Bazilinskyy Human and Societal Factors
Debargha Dey Human and Societal Factors
Electrical Engineering Department
Daan de Geus Perception and Machine Learning
Sofie Haesaert Autonomous Control
Mechanical Engineering Department
Igo Besselink Vehicle Dynamics and Control
Tom van der Sande Vehicle Dynamics and Control
Jos Elfring World Modelling
Work with us
From early-stage research (TRL1) to applied development (TRL6), AUDRI offers multiple opportunities for collaboration.
Interested in a collaboration? Contact us:
Gijs Dubbelman
Scientific Director AUDRI
Contact
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Scientific Director AUDRI lab
Gijs Dubbelman -
EAISI Program Manager Responsible Mobility
Margriet van Schijndel -
AUDRI Lab
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EAISI