Lee, Lung Ho Shin, Beomju Kim, Chulki Kim, Jaehun Lee, Seok Lee, Taikjin 2024-01-19T12:09:51Z 2024-01-19T12:09:51Z 2022-03-07 2013 https://pubs.kist.re.kr/handle/201004/115439 An indoor positioning with a high accuracy is still a challenging research area. The error of pedestrian dead reckoning (PDR) is usually caused from both heading and step length error. In this paper, we focus on the reducing of step length estimation. We apply a linear combination consisted of 4 parameters obtained from an acceleration, an angular velocity, and a pedestrian average step length. For an in-flight calibration of step length estimation, we utilize map information and calculate constants for linear combination. We conduct a field test and its result suggests that the proposed algorithm is more accurate than the fixed step length method. English IEEE Real Time Adaptive Step Length Estimation for Smartphone User Conference 1 13th International Conference on Control, Automation and Systems (ICCAS), pp.382 - 385 13th International Conference on Control, Automation and Systems (ICCAS) 382 385 US Gwangju, SOUTH KOREA 2013-10-20 2013 13TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2013) 000347178200077 2-s2.0-84893524083 Proceedings Paper