Large-scale European research relies on shared knowledge
In the early years of large-scale collaborative research on Advanced Driver Assistance Systems (ADAS) we risked the work in the field to be significantly less interrelated than today. A tool like the ARCADE Knowledge Base ensures fundamental improvement by organising knowledge for a whole research field.
As the ARCADE Knowledge Base centrally stores results from projects in the field of Connected Automated Driving (CAD), one can easily find out what has been done previously by others. Findings and lessons learned are archived in a structured manner which makes literature and desk studies easier. The benefits are obvious: One can build upon existing excellence and open potential for exploring new fields.
As Co-ordinator of the largest European pilot testing of AD functions on public roads, L3Pilot, I particularly value the tool. Our results originating from more than three years of the joint effort of 34 partners, among them 13 major European automotive manufacturers, will be available on www.L3Pilot.eu. Beyond that we will ensure that the outcomes are visible here, on the ARCADE Knowledge Base. For the pilot tests conducted by 14 vehicle owners in motorway, urban and parking scenarios we succeeded in developing a common data format (CDF) for both data collection and processing. The CDF is available here. Further L3Pilot data such as drone datasets will also be public.
In L3Pilot we develop a Code of Practice for the development of automated driving functions. It shall provide comprehensive guidelines for supporting the automotive industry and relevant stakeholders in the development of the automated driving technology. The guidelines are derived from gained knowledge in the industry as well as collected best practices in this topic. It will also become part of the collective knowledge as stored here. For the follow-up project Hi-Drive, a Horizon Europe project, we will further elaborate this Code of Practice for regions outside of Europe and extend the vehicle types.
Our L3Pilot methodology and procedures for piloting and for evaluation of Automated Driving functions also become more visible. The respective reports are available here. These examples show how the ARCADE Knowledge Base extends the reach of existing results and thus ensures knowledge transfer for enhancing the quality of research and innovation work in the CAD field.