CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
The deliverable consists of a set of operational data, especially performance measures and image data that will be made available on-line together with the necessary meta-data.
A web page will be set up that provides the information about the project to the general public. The report will also explain the intended use of the web site during and after the project.
The report will describe the demonstrations done in relation to the single use cases, with specific focus on the CRF use case. Assessment procedures and the results in relation to the evaluation criteria will be described.
"Demonstration #2 and evaluation report" (opens in new window)The report will describe the demonstrations done in relation to the single use cases, with specific focus on the FACC use case. Assessment procedures and the results in relation to the evaluation criteria will be described.
"Demonstration #3 and evaluation report" (opens in new window)The report will describe the demonstrations done in relation to the single use cases, with specific focus on the BSTG use case. Assessment procedures and the results in relation to the evaluation criteria will be described.
This report will include a description of how data will be managed during operation of the inspection robot and a documentation of data that are made available to other researchers.
Publications
Author(s):
Daniele Evangelista, Alexander Walch, Marco Antonelli, Andrea Brandolese
Christian Eitzinger, Alberto Pretto and Emanuele Menegatti
Published in:
2020
Publisher:
I-RIM
Author(s):
Kenji Koide, Emanuele Menegatti
Published in:
Proceedings of the Austrian Associtation for Pattern Recognition, 2019
Publisher:
OCG
Author(s):
Kenji Koide, Emanuele Menegatti
Published in:
IEEE Robotics and Automation Letters, Issue 4/2, 2019, Page(s) 1021-1028, ISSN 2377-3766
Publisher:
IEEE
DOI:
10.1109/lra.2019.2893612
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