Displaying 125 resources
Software resources Software resources

Automatic Checkerboard Corner Detection and Data Processing Tool

Automated camera calibration method developed by the US National Institute of Standards and Technology (NIST)
Category
Sensing and processing methods
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Video/Webinars Video/Webinars

Loremipsum

Quae cum dixisset, finem ille. Quamquam non negatis nos intellegere quid sit voluptas, sed quid ille dicat. Progredientibus autem aetatibus sensim tardeve potius quasi nosmet ipsos cognoscimus. Gloriosa ostentatio in constituendo summo bono.
Category
Data and AI Platforms, Reasoning Techniques, Systems, methodologies, hardware, and tools
Target audience
Other, Private Sector, Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

Digital environment – Version 1.0

This is deliverable 1.2 of the AI4REALNET project.
Category
Action and Interaction Technologies, Experiment and Deployment, Reasoning and decision-making Technologies
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

Evaluation and test protocols

This is deliverable 4.1 of AI4REALNET project.
Category
Data for AI, Experiment and Deployment, Systems, methodologies, hardware, and tools
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Other Other

Communication and dissemination monitoring phase 1

This is deliverable 5.3 of the AI4REALNET project. This document provides an overview of the work developed so far in terms of communication and dissemination activities of the project, analysing the communication and the dissemination plans.
Category
Other
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Private Sector, Researchers and Academic
Source
Adra-e
Other Other

Exploitation plan and strategy phase 2

This is deliverable 5.4 of the AI4REALNET project. This document outlines how AI4REALNET’s results will be brought to market, ensuring widespread adoption, long-term sustainability, and maximising the potential for project perpetuation.
Category
Other
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e