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 Copyrighted and licensed contents will not be published in the Centre.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

Deep Object Detection

Recently, Convolutional Neural Networks (CNNs) have been used for object/target (e.g., face, person, car, pedestrian, road sign) detection with great results.

Category

Data for AI, Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Video Quality

This lecture overviews Video Quality that has many applications in cinema movies, digital TV and video streaming. It covers the following topics in detail: Video Quality Assessment Methods.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Video Processing and Standards Conversion

This lecture Video Processing and Standards Conversion that has many applications in video denoising, video interpolation and de-interlacing. It covers the following topics in detail: Continouous and discrete multidimensional signals.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Deep Semantic Image Segmentation

Semantic image segmentation is a very important computer vision task with several applications in autonomous systems perception, robotic vision and medical imaging.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

2D Object Detection and Tracking

This lecture overviews 2D Object Detection and Tracking that has many applications in autonomous car/drone vision (person, pedestrian, car tracking) and visual surveillance.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Introduction to 3D imaging

This lecture overviews Introduction to 3D imaging that has many applications in medical imaging, scientific imaging, microscopy and computer vision.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand