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 Copyrighted and licensed contents will not be published in the Centre.

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Displaying 266 resources

Image Features

This lecture overviews Image Features that have many applications in computer vision, image analysis, stereo vision, image registration, motion estimation and object tracking.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Image Acquisition

This lecture overviews that has many applications in computer vision, digital imaging, social media and media production.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

An Introduction to PAC-Bayesian Analysis

This resource corresponds to 9th video from the AI Excellence Lecture Series. PAC-Bayesian Analysis is a framework in machine learning and statistics that combines ideas from the Probably Approximately Correct (PAC) learning framework and Bayesian p

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Camera Geometry

After a brief introduction to image acquisition and light reflection, the building blocks of modern cameras will be surveyed, along with geometric camera modelling.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Toward efficient and safe intelligent aerial robotics and aerial manipulation

This resource corresponds to 8th video from the AI Excellence Lecture Series. Delve into the cutting-edge world of intelligent aerial robotics.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Structure from Motion

Image-based 3D Shape Reconstruction, Stereo and multiview imaging principles will be overviewed. The following topics will be covered: Feature extraction and matching. Triangulation and Bundle Adjustment. Mathematics of structure from motion.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand