Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163777
Title: A robust 6-D pose tracking approach by fusing a multi-camera tracking device and an AHRS module
Authors: Wang, Zengwei
Dai, Houde
Zeng, Yadan
Lueth, Tim C.
Keywords: Engineering::Mechanical engineering
Issue Date: 2021
Source: Wang, Z., Dai, H., Zeng, Y. & Lueth, T. C. (2021). A robust 6-D pose tracking approach by fusing a multi-camera tracking device and an AHRS module. IEEE Transactions On Instrumentation and Measurement, 71, 7000611-. https://dx.doi.org/10.1109/TIM.2021.3139655
Journal: IEEE Transactions on Instrumentation and Measurement
Abstract: Optical tracking technique based on multiple cameras is widely employed in robots, virtual reality, and industrial measurements due to its excellent position accuracy. However, its 6-D tracking practicability is impaired by the line-of-sight issue and the complicated tracker based on multiple markers. Hence, we implemented a custom-built hybrid tracking system consisting of four-camera equipment and a 6-D tracker comprising a single optical marker and an automatic heading reference system (AHRS). AHRS provides the 3-D orientation of the tracked object directly and compensates for the 3-D position when the optical tracking is occluded. A two-stage cascaded adaptive unscented Kalman filtering (CAUKF) was proposed to enhance real-time fusion tracking performance. The CAUKF not only provides a reliable frequency enhancement solution for the optical tracking adapting to various frequencies, but also improves the continuality of prediction on fusion state variables and the corresponding covariance matrix, which helps initialize the occlusion tracking accurately. When an occlusion occurs, a learning-based adaptive unscented Kalman filter (LAUKF) module can adaptively adjust noise estimation matrices in the unscented transformation according to the AHRS data, thereby significantly reducing the position estimation error. Experimental results reveal that the proposed tracking approach achieved 6-D tracking at 100 Hz with 0.32-mm position error (mean absolute error) and 0.1° orientation error. This study furnishes a novel implementation method for the full 6-D pose tracking with a simplified tracker structure and improved accuracy, continuity, and stability.
URI: https://hdl.handle.net/10356/163777
ISSN: 0018-9456
DOI: 10.1109/TIM.2021.3139655
Rights: © 2021 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

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