This group is a joint working group between FIG and IAG. It focuses on
the development of shared resources that extend our understanding of the
theory, tools and technologies applicable to the development of multi
sensor systems. It has a major focus on:
Performance characterization of positioning sensors and
technologies that can play a role in augmenting core GNSS capabilities
Theoretical and practical evaluation of current algorithms for
measurement integration within multi sensor systems.
The development of new measurement integration algorithms based
around innovative modeling techniques in other research domains such
as machine learning and genetic algorithms, spatial cognition etc.
Establishing links between the outcomes of this WG and other IAG
and FIG WGs (across the whole period)
Generating formal parameters that describe the performance of
current and emerging positioning technologies that can inform FIG and
IAG members.
Chair
Allison Kealy, Australia
allison.kealy[at]rmit.edu.au
Guenther Retscher, Austria
Guenther.Retscher[at]geo.tuwien.ac.at
Special projects
International field experiments and workshops on a range of multi
sensor systems and technologies.
Evaluation of UAV capabilities and the increasing role of
multi-sensor systems in UAV navigation.
Investigate the role of vision based measurements in improving the
navigation performance of multi sensor systems.
Development of shared resources to encourage rapid research and
advancements internationally.
What we are working on -
A number of papers will be submitted to relevant
conferences and technical journals.
A special journal edition of papers from the Mobile
Mapping Symposium in 2015 will be supported.
What's New
In 2019, WG efforts focused on processing techniques in three primary
areas – firstly, more representative statistical error distributions for
the non traditional sensors such as wifi and ultra wideband based on
real-world data; secondly, the implementation of novel techniques such as
differential wifi and information grammar as approaches to improving the
positioning solution achievable from traditional sensor fusion techniques
and thirdly, robust, decentralised fusion algorithms for scalable and
practical collaborative networks. Contributions to each of these three
areas were made by RMIT University, Australia, the University of
Melbourne, Australia, the Ohio State University, USA, TU Wien, Austria,
Athens Technical University, University of Padova, Padova, Indian
Institute of Technology, Kanpur, India. The full details around these
approaches, the research hypotheses, datasets used, experimental setups
and results are detailed in publications from the collaborating
researchers.
This WG undertook a follow up to the outreach program in Sri Lanka in
2018. Working collaboratively with the Sabaragamuwa University (Geomatics
Department), a workshop was conducted specifically with a knowledge
transfer focus. A key aspect of this workshop was a data collection
campaign to evaluate the performance of GAGAN the Indian contribution to
GNSS. We expect to continue to deepen this relationship in the future.
Members of this WG are also very active in promoting the women in
positioning, navigation and timing (PNT) activities underway in other
professional associations such as the ION and RIN.
