Transport scientists from the Chair of Transport Systems Information Technology at TU Dresden presented their research projects online at IPIN 2022 at the beginning of September.

The head of the chair, Oliver Michler, and the research assistants Andrea Jung and Paul Schwarzbach were represented online by name. Andrea Jung led the presentation entitled "Auto-Positioning in Radio-based Localization Systems: A Bayesian Approach".

The focusof the research covered in the presentation was to develop a discrete Bayesian approach to solve the task of robust auto-positioning compared to conventional Closed-Form methods for non-stationary and unknown network configurations, while lowering the requirements with regards to connectivity and availability of viable ranging measurements. The method was validated with a real-world proximate data foundation.

Various multi-path, outlier and interference-affected distance measurements were performed. Using this approach, a 58 per cent increase in positioning accuracy can be achieved compared to a closed-loop baseline approach to automated positioning.

About IPIN

The International Conference on Indoor Positioning and Indoor Navigation (IPIN) was first held in Zurich in 2010 and has been held annually since then. It offers an international exchange platform for researchers, students and companies on artificial intelligence, big data and general networking topics. The main aim of the conferences is to develop technologies that make it possible to localise people, devices and objects in indoor spaces. IPIN is the first conference to focus on technical discussions and competitions for indoor localisation.

Due to Corona restrictions still in place in Beijing/China, this year's conference was held in a hybrid format.

Prof. Dr.-Ing. Oliver Michler

© Kirsten Lassig

Head of the Chair of Transport Systems Information Technology
"Friedrich List" Faculty of Transport and Traffic Sciences, TU Dresden
Mail: oliver.michler@​tu-dresden.de

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