Section: Partnerships and Cooperations

European Initiatives

FP7 & H2020 Projects

"ENABLE" Ecsel Project

ENABLE-S3 means "European Initiative to Enable Validation for Highly Automated Safe and Secure Systems". It is a H2020 Ecsel project.

ENABLE-S3 is industry-driven and therefore aims to foster the leading role of the European industry. This is also reflected in its use case driven approach. The main technical objectives are extracted from the use cases defined by the industrial partners, in order to validate the success of the developed methods and tools.

Recent scientific publications from the automotive domain predict that more than 100 Mio km of road driving is required for the thorough validation of a fully automated vehicle. Only if this extensive test is done, it is statistically proven that the automated vehicle is as safe as a manually driven car. Taking further into account the high number of vehicle variants and software versions, one can easily understand that new validation approaches are required to validate new Electronics, Components and Systems (ECS) for automated vehicles within a reasonable time period at reasonable costs. The same characteristic hold for other transportation domains such as aeronautics, maritime or rail.

The ENABLE-S3 project will provide European industry with leading-edge technologies that support the development of reliable, safe and secure functions for highly automated and/or autonomously operating systems by enabling the validation and verification at reduced time and costs.

Enables-S3 is a large European consortium, involving a French consortium leaded by Valeo, and including Thales, Renault and Inria. The project will start in March-April 2016 and will have a duration of 3 years.

Collaborations with Major European Organizations

• Autonomous System laboratory: ETHZ, Zurich (Switzerland)

• Subject: Vision and IMU data Fusion for 3D navigation in GPS denied environment.

• Robotics and Perception Group: University of Zurich (Switzerland)

• Subject: Vision and IMU data Fusion for 3D navigation in GPS denied environment.

• Karlsruhe Institut fur Technologie (KIT, Germany)

• Subject: Autonomous Driving (student exchanges and common project).

• Vislab Parma (Italy)

• Subject: Embedded Perception & Autonomous Driving (visits, projects submissions, and book chapter in the new edition of the Handbook of Robotics).

• University of Babes-Bolyai, Cluj-Napoca, Romania.

• Subject: Multi-robot patrolling and Machine Learning (Visit and PHC "DRONEM" 2017-18 obtained in December 2016).

• Department of Electrical & Computer Engineering: University of Thrace, Xanthi (GREECE)

• Subject: 3D coverage based on Stochastic Optimization algorithms

• Universidade de Aveiro (Portugal)

• Subject: Leader following. co-direction of P. Stein phD.

• Centro De Automatica y Robotica, UPM-CSIC, Madrid (Spain)

• Subject: Target interception.

• Bonn-Rhein-Sieg University of Applied Sciences (Germany)

• Subject: Using Semantic Information for Robot Navigation.

• Social Robotics Laboratory, Freiburg (Germany)

• Subject: Human behavior understanding.

• BlueBotics: BlueBotics Company, Lausanne (Switzerland)

• Subject: Implementation of self-calibration strategies for wheeled robots and SLAM algorithms for industrial purposes.