ADR Awareness Centre | Adra Association

The European AI, Data and Robotics stakeholders operate from diverse historic backgrounds. To tap into the potentials of the diverse knowledge and resources generated in the AI, Data, and Robotics ecosystem, an all-inclusive collaboration approach between these stakeholders is necessary to make the ADR resources available and accessible to all.

For this, the ADR Awareness Centre is developed as an open repository of ADR educational resources and materials to enable collaboration and alignment among all projects within the Partnership, relevant external projects, and the public. The Awareness Centre will collect, validate, and publish educational resources and materials related to AI, Data, and Robotics.

- Who is this for? Everyone. Every project and organization in Europe including the general member of the public
- What does this Centre provide? AI, Data, and Robotics educational resources and materials produced in the EU
- When a new resource becomes available? The list of the resources will be updated when a new resource is submitted and validated
- Why should I publish a resource? Firstly, publishing your materials will promote and make them accessible to all. Secondly, it increases the transparency of your work and improves your and your organizations reputation. Last but not the least, your material will help address ADR challenges and contribute to shaping the future of ADR in Europe.
- How can I contribute and publish my resources? The Centre designed a very simple process for you to submit and publish your resources. You only need to submit your resource here and we will review and get it published and publicly accessible to all.
- What kinds of resources can I publish? The Centre only collects and publishes ADR related educational resources that can be publicly available and accessible to all. Copyrighted and licensed contents will not be published in the Centre.

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Resource types

Displaying 324 resources

Image Registration

This lecture overviews 2D Image Registration that has many applications in photography, computer vision, and medical imaging.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Introduction to 2D Computer Vision

This lecture overviews digital images and 2D Computer Vision (image analysis).

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Computational Cinematography

This lecture overviews Computational Cinematography that has many applications in filming, notably in drone cinematography.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Object Pose Estimation

This lecture overviews object pose estimation that has many applications in Human-Robotic Interaction (HRI), Robotics and Augmented Reality.

Category

Recommendations towards policy changes

Source

AI-OnDemand

3D Object Localization

This lecture overviews 3D Object Localization that has many applications in robotics and autonomous systems.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Neural SLAM

This lecture overviews Neural SLAM that has many applications in robotic and autonomous vehicle localization and mapping.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand