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Speakers

October 1 - 5, 2018, Delft, The Netherlands

Prof Dr Ruizhi Chen

Smartphone Positioning and 3D Mapping Indoors

Indoor positioning is one of the core technologies of artificial intelligence (AI) and will play a pivotal role in the upcoming era of AI. However, affected by the complexity of the indoor spaces, it is still challenging to develop a smartphone-based real-time positioning solution indoors with high accuracy, lost-cost and large coverage. This presentation introduces a solution of smartphone-based positioning solution indoors by integrating the measurements of built-in sensors and RF radios together with various high precision positioning techniques including camera re-sectioning, acoustic ranging, and Angle of Arrival from Bluetooth antenna array. The high precise positioning techniques are used to control the error propagation in large indoor space, while the built-in sensors including the accelerometer, gyroscope, magnetometer and RF radios including Wi-Fi and Bluetooth Low Energy are used to fill the gaps among the hot spots covered by the high precise positioning techniques. An smartphone-based SLAM solution for generating the 3D models indoors will be also presented.