title: An Inertial and Optical Sensor Fusion Approach for Six Degree-of-Freedom Pose Estimation.
abstract: Optical tracking provides relatively high accuracy over a large workspace but requires line-of-sight between the camera and the markers, which may be difficult to maintain in actual applications. In contrast, inertial sensing does not require line-of-sight but is subject to drift, which may cause large cumulative errors, especially during the measurement of position. To handle cases where some or all of the markers are occluded, this paper proposes an inertial and optical sensor fusion approach in which the bias of the inertial sensors is estimated when the optical tracker provides full six degree-of-freedom (6-DOF) pose information. As long as the position of at least one marker can be tracked by the optical system, the 3-DOF position can be combined with the orientation estimated from the inertial measurements to recover the full 6-DOF pose information. When all the markers are occluded, the position tracking relies on the inertial sensors that are bias-corrected by the optical tracking system. Experiments are performed with an augmented reality head-mounted display (ARHMD) that integrates an optical tracking system (OTS) and inertial measurement unit (IMU). Experimental results show that under partial occlusion conditions, the root mean square errors (RMSE) of orientation and position are 0.04° and 0.134 mm, and under total occlusion conditions for 1 s, the orientation and position RMSE are 0.022° and 0.22 mm, respectively. Thus, the proposed sensor fusion approach can provide reliable 6-DOF pose under long-term partial occlusion and short-term total occlusion conditions.
authors.affiliation: Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China. wosipo007@163.com.
authors.forename: Changyu
authors.initials: C
authors.lastname: He
authors.affiliation: Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA. pkaz@jhu.edu.
authors.forename: Peter
authors.initials: P
authors.lastname: Kazanzides
authors.affiliation: Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA. tutkunsen@gmail.com.
authors.forename: Hasan Tutkun
authors.initials: HT
authors.lastname: Sen
authors.affiliation: Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA. sungminkim@jhu.edu.
authors.forename: Sungmin
authors.initials: S
authors.lastname: Kim
authors.affiliation: Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China. liuyue@bit.edu.cn.
authors.forename: Yue
authors.initials: Y
authors.lastname: Liu
mesh_terms: D002102:Cadaver; D004867:Equipment Design; D006801:Humans; D055095:Optics and Photonics / Q000295:instrumentation*
keywords: Extended Kalman Filter; hybrid tracking; inertial tracking; optical tracking