Research lab

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 â€“ 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.

 

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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
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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  â€“  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.

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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.   

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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

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