European Initiative to Enable Validation for Highly Automated Safe and Secure Systems

Contact: Prof. Paul Pop

ENABLE-S3 will pave the way for the accelerated application of highly automated and autonomous systems in the mobility domains automotive, aerospace, rail, maritime and health, through a provision of highly effective test and validation methodology and platforms that will save significant fractions of field tests. Virtual testing and verification and coverage-oriented test selection methods will enable certification of these systems with reasonable efforts and project results will be considered for standardization of such systems.

ENABLE-S3 is strongly industry-driven. Several representative use-cases from smart mobility and smart health will define the requirements to be addressed in the project and will assess the benefits of the technological progress achieved in the project. ENABLE-S3 addresses all five main innovation tracks stated by the commission within their presentation “Digitizing Europe’s economy” with a special focus on “CPS, Smart connected objects and IOT”, and “Robotics, Autonomous systems, and automation”.

In the Farming Domain, the industry has already successfully implemented “smart farming” features which focus on detecting the crop’s needs and problems (fertilizer and water application and crop spraying according to the needs of each individual plants rather than treating the large area in the same manner). This already introduced a high level of automation and saved millions of tons of fertilizers, pesticides, insecticides, etc. The missing link now is heading in the direction of autonomous operations in order to optimize resources, increase the level of efficiency and reduce costs significantly. In some areas savings up to one-third of the cost are expected.

DTU’s role and research

DTU leads the tasks on “Automated validation and verification” and “Overall test strategy/methodology” and works in the “Autonomous Farming” use case.

DTU will apply the runtime V&V concepts developed in Runtime validation/assessment task to the farming use case. DTU will develop tools for the evaluation of non-functional properties of the safety-related applications. The tools will focus on the Deterministic Ethernet-based vehicle platforms.

Researchers at DTU Compute


  • The project has 74 partners from all over Europe
  • The Danish partners in the project are:
    • Technical University of Denmark
    • Aalborg University
    • Nabto ApS

Find out more by visiting the project website.

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