Project description
Scalable solution for multiple indoor positioning technologies in industrial environments
Indoor positioning (IP) will play a central role in industry 4.0 by assisting unmanned vehicle navigation or tracking goods within the value chain. However, some disadvantages prevent the usage of technologies with the technical requirements for IP in industrial environments. Also, the variations in scenarios used in empirical assessment exclude the direct comparison of existing IP technologies. The EU-funded ORIENTATE project will address this issue with a new scalable high-accuracy solution. It will integrate multiple IP technologies to create an open assessment structure. The project’s solution is based on visible-light communications principles, processing data provided by other positioning modules with neural networks and local outlier factors, and coding trusted positioning information as hyperspectral images.
Objective
We are clearly on the verge of Industry 4.0. The European Commission is investing on European Industry digitalisation not only to improve competitiveness but also to reach climate-neutrality. Indoor Positioning (IP) will play a key role in Industry 4.0 by, for instance, supporting unmanned vehicles navigation or tracking goods within the value chain. Despite there are already technologies coping with the technical requirements for IP in industrial environments, they present drawbacks that might prevent its usage. Moreover, a direct comparison of the current IP technologies is not possible due to the diversity of scenarios used in empirical evaluation. This project aims to provide a significant contribution to Industrial IP by: i) proposing a new scalable high-accurate solution; ii) dynamically integrating multiple IP technologies; iii) creating an open evaluation framework. From the methodological point of view, a novel solution -based on Visible-Light Communications principles- will be proposed. Moreover, data provided by positioning modules will be processed with neural networks and local outlier factor to detect anomalous behaviour. Trusted positioning information will be coded as hyperspectral images to allow dynamic sensor fusion through Deep Neural Networks. Finally, the Experienced Researcher, with the support of 3 industrial partners and 12 international researchers, will agree an evaluation framework for Industrial IP. The project outcomes will contribute to the IP community with significant advances to the state-of-the-art solutions and, specially, with a new open evaluation framework and generated datasets. The Experienced Researcher will emerge from the project with acquired multidisciplinary competences necessary to conduct high-impact research projects and deliver high-level consultancy services. Thus, it will grant the ER the capacity of achieving maturity and independence on Industrial IP, a research area with great growth potential.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- natural sciences computer and information sciences artificial intelligence computational intelligence
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2020
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
4704 553 Braga
Portugal
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.