Pedestrian Dead Reckoning-Assisted Visual Inertial Odometry Integrity Monitoring

Yuqin Wang, Ao Peng, Zhichao Lin, Lingxiang Zheng, Huiru Zheng

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
6 Downloads (Pure)

Abstract

Visual inertial odometers (VIOs) have received increasing attention in the area of indoor positioning due to the universality and convenience of the camera. However, the visual observation of VIO is more susceptible to the environment, and the error of observation affects the final positioning accuracy. To address this issue, we analyzed the causes of visual observation error that occur under different scenarios and their impact on positioning accuracy. We propose a new method of using the short-time reliability of pedestrian dead reckoning (PDR) to aid in visual integrity monitoring and to reduce positioning error. The proposed method selects optimized positioning by automatically switching between outputs from VIO and PDR. Experiments were carried out to test and evaluate the proposed PDR-assisted visual integrity monitoring. The sensor suite of experiments consisted of a stereo camera and an inertial measurement unit (IMU). Results were analyzed in detailed and indicated that the proposed system performs better for indoor positioning within an environment that contains low illumination, little background texture information, or few moving objects.
Original languageEnglish
Article number5577
Pages (from-to)1-17
Number of pages17
JournalSensors
Volume19
Issue number24
DOIs
Publication statusPublished - 17 Dec 2019

Keywords

  • visual-inertial odometer
  • pedestrian dead reckoning
  • autonomous integrity monitoring

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