3rd European Conference on Connected and Automated Driving – EUCAD 2021

EUCAD 2021 will be a high-level and evidence-based conference where policy challenges meet innovative solutions to deliver on societal benefits. The event is the only conference in Europe that brings together political leaders from the European Commission and Member States with high-level representatives of industry, knowledge institutes and road authorities to exchange knowledge and experience on the most recent technological developments and policies in the area of cooperative, connected and automated mobility (CCAM).

The conference, taking place on 20-22 April 2021, consists of a series of plenary sessions complemented by several thematic breakout discussions as well as a virtual exhibition available throughout the event. The first two days of the programme are primarily policy-oriented while the third day is fully dedicated to break-out sessions discussing specific R&I challenges. All break-out sessions feature interactive panel discussions on specific R&I questions, combined with active audience participation. The virtual exhibition features R&I projects active in the field of automated mobility, including their presentation, documentation and contact information. The exhibition could also feature virtual demonstrations by some large-scale pilot projects.

Programma & registration
The programme for the conference is now published. Registration (free of charge) shall open shortly!

ARCADE: workshop on data sharing for automated driving

ARCADE is a project whose mission is to network with all the vehicle automation projects. LEVITATE has already established a dialogue with ARCADE partners about impact assessment methodologies.

On February 25th, ARCADE organises an online workshop on the topic of data sharing in the CCAM area. ARCADE is a H2020 Coordination and Support Action. Data sharing is one of its topics. In the CAD knowledge base, ARCADE collected material for data sharing.

For cost-effective evaluation of CCAM and for comparability of automated driving research studies, data sharing is essential. If not, costly parallel work on data collection remains common practice. For training of AI, large data sets are needed as well. Many hurdles for data sharing exist, starting from data sensitivity, security, data formats and descriptions, to privacy (GDPR). Today’s working-from-home practice has quickly enabled some remote access facilities.

In this workshop, we will identify bottlenecks and promising approaches for data sharing. The morning session is a broader webinar presenting today’s status, experiences and challenges. The afternoon expert workshop features three break-out sessions where we work on defining boundary conditions and next steps following promising approaches. It is possible to register for morning or afternoon only.

The break-out sessions are:

  1. Principles for industry data sharing
    What principles can we agree upon for enabling data sharing in industrial and research projects? Under what conditions is sharing possible? After an introduction of an international multi-partner project, we will work on promising approaches.
  2. In-vehicle data selection and analysis
    Data is generated in vehicles for research and development. This could lead to difficulties in managing large amounts of data, governing and protecting IP rights, and privacy issues. What if the data could be processed in-vehicle and only a reduced dataset is sent back-office, after data is pseudonized and reduced in size? This workshop will discuss how can we reach this state and what are the steps needed.
  3. GDPR in practice
    What practical privacy challenges do researchers and developers face in order to collaborate and share personal data? We will discuss examples of the type of problems which may be encountered, examining how (and if) they may be overcome.

You can register here »