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WASP: AD-EYE – an Open Modular Testbed

The AD-EYE Open Modular Testbed is one of 3 projects launched by WASP as part of it's new Industry Bridge Instrument. 

AD-EYE is a testbed for Automated Driving (AD) and Intelligent Transportation Systems (ITS). It is anchored at the Division of Mechatronics and Embedded Control Systems at KTH Royal Institute of Technology. This sub-project funded by the WASP industry bridge call  is in conjunction with the Center for Trustworthy Edge Computing Systems ( TECoSA ), and industrial partners Ericsson and ZenseAct and aims to transform the KTH campus into an innovation arena for AD and ITS.

AD and ITS are very large and complex tasks, requiring a multidisciplinary approach. The goal of AD-EYE is to aid researchers to overcome hurdles in making the transition from lower to mid/high TRL levels, especially challenging for research in safety critical fields such as AD and ITS. Usual hurdles are, for example: regulatory requirements, lack of open data, approvals of Transportstyrelsen, or that multidisciplinary collaboration is required.

The AD-EYE testbed emphasizes architecture openness through modular, standardized interfaces, open-source base functionality and data. The modular reference implementation can be selectively used or improved by the individual researcher in order for them to keep their focus on their research interests, while still using the rest of AD-EYE testbed implementation and resources. The resources available are of different types such as the ability to drive on public roads on KTH campus, access to sensors, compute hardware, workstations, open data (e.g. www.adeye.se/open-kth ), proprietary data (e.g. from Stockholm city) and communication (5G, WiFi, V2X).

In conclusion, AD-EYE aims to simplify the process of testing new WASP developments in realistic conditions on public roads easier (with a reference implementation) and safer (with an approved safety case and process).

Project members from Academia: 
Martin Törngren, Professor, KTH Royal Institute of Technology;
Ahmed Terra, WASP industrial PhD student, Ericsson;
Magnus Gyllenhammar, WASP Industrial PhD student, ZenseAct;
Rusyadi Ramli, WASP affiliated PhD student, KTH Royal Institute of Technology;
Lars Svensson, WASP affiliated PhD student, KTH Royal Institute of Technology;
Naveen Mohan, Affiliated WASP PhD student, KTH Royal Institute of Technology.

Project members from Industry: 
Håkan Sivencrona, Senior safety expert, ZenzeAct;
Elena Fersman, Director, AI Research, Ericsson;
Mats Nordlund, Director Research, ZenseAct;
Rafia Inam, Project Manager in AI, Ericsson.

For more information:
Please contact Naveen Mohan (naveenm @kth.se) or Martin Törngren (martint @kth.se), and see the AD-EYE homepage: www.adeye.se

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Belongs to: Machine Design
Last changed: Jun 03, 2021
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