• Piezoelectrics & Acoustooptics
  • Vol. 42, Issue 4, 568 (2020)
QI Lin1, LIU Yu1, GOU Zhiping2, YANG Yong2, LU Yongle1, and ZOU Xinhai1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.11977/j.issn.1004-2474.2020.04.029 Cite this Article
    QI Lin, LIU Yu, GOU Zhiping, YANG Yong, LU Yongle, ZOU Xinhai. A Multi-mode Autonomous Positioning Method for Pedestrians Based on Multi-sensor Fusion[J]. Piezoelectrics & Acoustooptics, 2020, 42(4): 568 Copy Citation Text show less

    Abstract

    It is difficult to obtain the navigation information in the case of GNSS rejection, while the methods based on infrared, ultrasonic, radio, Wi-Fi, ultra-wide-band need the assist of electronic label, and the traditional dead reckoning algorithm is to draw the trajectory of a pedestrian on the condition of walking forward. It may be opposite or perpendicular to the actual trajectory if the pedestrian takes backward and lateral walking. To solve the above-mentioned problems, the inertial measurement unit embedded in mobile terminal is used to realize the short-time multi-mode pedestrian tracking based on multi-sensor without relying on any electronic label. The results of repeated tests show that the detected accuracy of walking mode is higher than or equal to 92%. Taking the actual garage scene as the experimental background, this method can obtain autonomous path tracking in full walking mode, and the path tracking error is less than 3 m.
    QI Lin, LIU Yu, GOU Zhiping, YANG Yong, LU Yongle, ZOU Xinhai. A Multi-mode Autonomous Positioning Method for Pedestrians Based on Multi-sensor Fusion[J]. Piezoelectrics & Acoustooptics, 2020, 42(4): 568
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