Computer Science ›› 2016, Vol. 43 ›› Issue (1): 18-21, 43.doi: 10.11896/j.issn.1002-137X.2016.01.004

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Multi-sensor Fusion Based Indoor Real-time and Highly Accurate Trajectory Generation

LIU Ding-jun, JIANG Xin-long, LIU Jun-fa and CHEN Yi-qiang   

  • Online:2018-12-01 Published:2018-12-01

Abstract: This paper proposed a multi-sensor fusion based indoor real-time and highly accurate trajectory generation method.Combing the Wi-Fi location and sensors based location,the proposed method can generate the real-time trajectory in indoor area.This method gets the initial position by Wi-Fi location,and then obtains the real-time velocity and heading orientation based on sensors to calculate the next position by dead reckoning method.Finally,Kalman filter is used to get a smoother trajectory.The experiment results show that this proposed method can get more smoother and denser trajectory than the Wi-Fi positioning,and can get higher tracking accuracy than some other similar methods.

Key words: Indoor positioning,Trajectory generation,Multi-mode sensor,Wi-Fi positioning

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