I. Progress beyond the state of the art
1) “Big Sensor” concept and Joint smoothing, tracking and forecasting (STP) framework
“Big sensor” has identified a research opportunity to develop new LPT theories and algorithms, such as allowing for joint STP. With the rapid development of hardware sensors, the Big Sensor concept and the joint STP framework have expected to inspire more data-driven solutions and to promote the development of cutting-edge LPT solutions.
2) C4F/F4S paradigms
Both data clustering and numerical fitting are originally applied in the context of target detection and state estimation in cluttered environments, contributing to both theoretical advancements and practical implementations of state-of-the-art mobile positioning.
3) Effectiveness definition of the general Bayesian filter/smoother
The sensor-oriented C4F and F4S take a more practical approach by setting a worse bound on the mean error of any “effective” estimator, which addresses a fundamental issue by providing a clear and theoretical-solid definition of the effectiveness of the general Bayesian filter/smoother, offering a solid guideline for filter/smoother evaluation and design.
II. Expected results until the end of the project
Scientific outcomes of the Project are mainly reflected in 10+ high-quality scientific papers. The fruitful and enjoyable collaboration between the Host and Partner groups, based on their complementary nature, has advanced the European science excellence and made very positive impacts on their development (to be explained below). Their collaboration network has been enhanced. In addition, the Project has investigated excellent resources and experiences for communication and public engagement of the research activities, receiving high visibility both from the Public and the Academic.
III. Potential impacts
1) The Host and the Partner groups have made an enormous effort to design and to provide effective and specific training and programme courses to the researcher, according to the project needs, by which the Researcher has greatly broadened and diversified the competences of the Researcher in terms of new expertise, knowledge and skills (software + hardware; theory+ programming).
2) The project has enhanced the expertise and competence of the Host groups, strengthening its scientific and technological bases. In particular, the creative outcome of the project has been directly transferred to contribute to related projects that are being investigated in the Host group such as the following Regional and EU projects
HIGIA: Intelligent Platform for the Management and Tracking of Healthcare Personnel and Patients in Hospital Environments, Funding body: Castilla y León Regional Government, 2013-2017.
My-TRAC: My TRAvel Companion, Funding body: H2020 programme Shift2Rail,
http://www.my-trac.eu/(s’ouvre dans une nouvelle fenêtre)3) Based on the promising potential value of the implemented mobile positioning APP, the Researcher and the Supervisors are keen in converting the final outcome of this project into socio-economic benefits for the EU and seek further involvement in new European projects that are related to Home Care, LPT and EGNSS/Galileo service, such as integrating the yielded technologies and protocols in the e-Bikemotion (www.ebikemotion.com) project that the Host group is continuously investigating and that has received market efficiency already.
