A Comparative Evaluation of a Single and Stereo Lighthouse Systems for 3-D Estimation
- Authors
- Cho, Sungtaek; Kim, Dongyeon; Lee, Sungon
- Issue Date
- Nov-2021
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Calibration; Pose estimation; Photodiodes; Sensors; Location awareness; Synchronization; Cameras; Base station; calibration; lighthouse; pose estimation; virtual reality
- Citation
- IEEE SENSORS JOURNAL, v.21, no.21, pp 24791 - 24800
- Pages
- 10
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE SENSORS JOURNAL
- Volume
- 21
- Number
- 21
- Start Page
- 24791
- End Page
- 24800
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/140549
- DOI
- 10.1109/JSEN.2021.3112584
- ISSN
- 1530-437X
1558-1748
- Abstract
- The lighthouse localization system has recently been developed and used for localization in virtual reality (VR). Not only for VR but also for a general indoor positioning systems (IPSs) it has several advantages over existing methods, including low cost, wide detection area, and easy setup. Here, we adopt the stereo configuration of a lighthouse for improved sensing performance and propose a novel calibration method for stereo configuration. For the stereo calibration, the exact positions of sufficient corresponding points in two sensor coordinates need to be determined. A printed checkerboard is widely used for stereo camera systems because it is easy to construct and its accuracy is guaranteed owing to its printing accuracy. However, in the case of the lighthouse system, it is very difficult or impossible to construct a highly accurate calibration board similar to the checkerboard mainly because of manufacturing errors. In this study, we use a receiver sensor and a two-axis linear stage equipped with micrometers. By moving predetermined distances along the x and y directions on the linear stage, we can obtain multiple-point information with high accuracy, which can then be used for the stereo calibration of two lighthouses. In this paper, the calibration and pose estimation procedures are described in detail, and the pose estimation result of the perspective-n-points method is compared with that of the triangulation method. Finally, the pose estimation accuracy of the proposed system is compared with that of a commercial system that is widely used for highly accurate medical applications.
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