Displaying 120 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
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
Article/Books/eBooks Article/Books/eBooks

AI fundamental blocks – beta release

This is the deliverable 2.2 of the AI4REALNET project. This work package objective consists on developing the AI fundamental blocks for augmented decision-making, namely novel AI algorithms for large-scale sequential decision-making problems.
Category
Action and Interaction Technologies, Data for AI, Experiment and Deployment, Reasoning and decision-making Technologies
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e