Related Experiment Video
Updated: Aug 25, 2025

07:45
Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
Published on: July 21, 2020
4.5K
Indoor 3D NLOS VLP using a binocular camera and a single LED
Optics Express
|October 19, 2022
Summary
This study introduces a novel non-line of sight (NLOS) visible light positioning (VLP) system for 3D localization. The enhanced VLP scheme significantly improves accuracy, achieving sub-11 cm positioning for arbitrary postures.
Area of Science:
- Optoelectronics
- Indoor Positioning Systems
- Computer Vision
Background:
- Traditional line-of-sight (LOS) visible light positioning (VLP) systems face limitations due to signal blockage.
- Achieving 3D positioning with arbitrary postures requires robust solutions overcoming LOS constraints.
- Limited camera field-of-view restricts the number of visible light transmitters (LEDs) that can be simultaneously detected.
Purpose of the Study:
- To propose and evaluate a non-line of sight (NLOS) VLP system for 3D positioning.
- To address challenges associated with blocked LOS paths and limited receiver field-of-view.
- To introduce a label-based enhanced VLP scheme for improved positioning accuracy.
Main Methods:
- Development of a VLP system utilizing a binocular camera and a single LED.
- Implementation of an experimental testbed for performance evaluation.
- Proposal and integration of a label-based enhanced VLP scheme.
Main Results:
- The initial system achieved an average error of 26.10 cm and RMSE of 31.02 cm after error compensation.
- The label-based enhanced VLP scheme significantly reduced errors, yielding an average error of 7.31 cm and RMSE of 7.74 cm.
- The enhanced scheme demonstrated 90th percentile accuracies below 11 cm.
Conclusions:
- The proposed NLOS VLP system effectively enables 3D positioning even with blocked LOS.
- The label-based enhancement offers a substantial improvement in positioning accuracy and reliability.
- This technology holds promise for applications requiring precise indoor localization without LOS constraints.

