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Mobile location and tracking using data fusion prize awarded to joint 香港六合彩中特网/QMUL team.

14 October 2019

A joint 香港六合彩中特网/QMUL team were awarded third prize for the accuracy of the trajectories found in the Smartphone-based (off-site) competition after the large teams at Intel, USA and NAVER Labs, South Korea at IPIN 2019, Pisa, Italy on 30th September 2019.

Chengqi Ma and Bang Wu

PhD Student Chengqi Ma (Supervisor: Dr David R. Selviah) of Department of Electronic and Electrical Engineering, University College London, 香港六合彩中特网, had previously successfully developed and demonstrated novel algorithms for localisation and tracking of mobile phones in complex multiple floor underground train stations along the platforms, stairs and escalators [1].

In May 2019 he began collaborative research with PhD student Bang Wu (Supervisor: Dr Stefan Poslad) of IoT2US Lab, School of Electronic Engineering and Computer Science, Queen Mary, University of London (QMUL) carrying out algorithmic and experimental localisation and tracking work. By July 2019 their joint research had progressed so well that they formed a team to enter the 10th Indoor Positioning and Indoor Navigation, IPIN, tracking competition 2019 [2, 3]. The team consisted of Bang Wu (QMUL), Chengqi Ma (香港六合彩中特网), Stefan Poslad (supervisor, QMUL), David R. Selviah (supervisor, 香港六合彩中特网), Wei Wu (WHU), Xiaoshuai Zhang (QMUL) , Guangyuan Zhang (QMUL) , Zixiang Ma (QMUL) with their 鈥淪martphone-based Activity Recognition and Multi-sensor Fusion based Indoor Positioning System鈥

Competition entrants are provided with data recorded from all of the sensors on a mobile phone as the phone is moved in an unknown complex path inside and outside a multiple floor building, and they are asked to work out the precise path followed. There were 15 competition entrants, mainly large teams of researchers from multinational companies. It is a significant mark of success that the joint 香港六合彩中特网/QMUL team were awarded third prize for the accuracy of the trajectories found in the Smartphone-based (off-site) competition after the large teams at Intel, USA and NAVER Labs, South Korea at IPIN 2019, Pisa, Italy on 30th September 2019 [4].


1 Ma, Chengqi, Chenyang Wan, Yuen Wun Chau, Soong Moon Kang, and David R. Selviah. "Subway station real-time indoor positioning system for cell phones." In 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp. 1-7. IEEE, 2017.

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