학술논문

Correcting Perspective Distortion for Circle Centerpoint Coordinates in Camera Based Visible Light Positioning
Document Type
Conference
Source
2022 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) Autonomous Robot Systems and Competitions (ICARSC), 2022 IEEE International Conference on. :232-236 Apr, 2022
Subject
Computing and Processing
Robotics and Control Systems
Estimation error
Computational modeling
Fixtures
Cameras
Distortion
Sensor systems
Libraries
circle centre deviation
visible light positioning
perspective projection
camera
indoor positioning
Language
Abstract
This paper proposes an algorithm for circle center-point deviation correction in camera based Visible Light Positioning (VLP) systems using circular light fixtures as references for the position estimation, without the use of additional sensors. We present an analysis of the centerpoint coordinates deviation when tilting is introduced on the image plane and derive an expression to correct this deviation. Using the solvePnP algorithm of the OpenCV computer vision library, we propose an iterative algorithm, using the latter, to reduce the position estimation error, which does not require the internal modification of solvePnP. The proposed algorithm is validated using a simulation setup comprised of a camera and four circular light fixtures, with a camera tilt introduced around a single axis. Our results show that in just two iterations, our algorithm reduces the position estimation error to below 0.1mm, compared to a previous maximum error of around 1 cm.