Jian Kuang

TL;DR: The proposed pedestrian dead reckoning algorithm based on the strap-down inertial navigation system (SINS) using the gyros, accelerometers, and magnetometers on smartphones achieves better position estimation when a pedestrian holds a smartphone in a swaying hand and step detection is unsuccessful.

TL;DR: A novel equality constraint method based on pedestrian footstep mode is proposed to fuse the information of two systems in the absence of any additional ranging equipment and demonstrates that the proposed algorithm improves the performances of both two systems.

TL;DR: An ambient magnetic field map-based matching (MM) positioning algorithm for smartphones in an indoor environment using a magnetic field sequence combined with the measured trajectory contour coming from pedestrian dead-reckoning (PDR) is presented.

TL;DR: The IPIN competition provided a unique overview of the state-of-the-art of systems, technologies, and methods for indoor positioning and navigation purposes and was able to identify the most promising approaches and to pinpoint the most critical working conditions.

TL;DR: This paper addresses the mounting angle calibration of a PIG without using sophisticated equipment and shows that the mounting angles can be accurately estimated and compensated through this simple and convenient calibration.