Novel Visible Light Communication Assisted Perspective-Four-Line Algorithm for Indoor Localization

TL;DR

This paper introduces V-P4L, a VLC-assisted perspective-four-line algorithm that combines computer vision and communication data to achieve high-accuracy indoor localization with minimal hardware requirements.

Contribution

It proposes a novel method integrating VLC and vision for indoor localization that is robust to LED height variations and requires only a single luminaire.

Findings

Position error less than 15 cm

Orientation error less than 3 degrees

Effective with common indoor luminaires

Abstract

In this paper, we propose a novel visible light communication (VLC) assisted Perspective-fourLine algorithm (V-P4L) for practical indoor localization. The basic idea of V-P4L is to joint VLC and computer vision to achieve high accuracy regardless of LED height differences. In particular, we first exploit the space-domain information to estimate the orientation and coordinate of a single rectangular LED luminaire in the camera coordinate system based on the plane and solid geometry. Then, based on the time-domain information transmitted by VLC and the estimated luminaire information, V-P4L can estimate the position and pose of the camera by the single-view geometry theory and the linear least square (LLS) method. To further mitigate the effect of height differences among LEDs on localization accuracy, we then propose a correction algorithm of V-P4L based on the LLS method and a simple optimization method. Due to the combination of time- and space-domain information, V-P4L only requires a single luminaire for localization without limitation on the correspondences between the features and their projections. Simulation results show that for V-P4L the position error is always less than 15 cm and the orientation error is always less than 3{\deg} using popular indoor luminaires.