Research Article
Exploring the outdoor performance of a LiDAR-based ground plane checking system for the visually impaired
@ARTICLE{10.4108/eai.13-7-2018.165498, author={A.B.C. Chai and B.T. Lau}, title={Exploring the outdoor performance of a LiDAR-based ground plane checking system for the visually impaired}, journal={EAI Endorsed Transactions on Pervasive Health and Technology: Online First}, volume={}, number={}, publisher={EAI}, journal_a={PHAT}, year={2020}, month={6}, keywords={ground plane checking, LiDAR, sensor, path-based, ground plane conditions, visually impaired}, doi={10.4108/eai.13-7-2018.165498} }- A.B.C. Chai
B.T. Lau
Year: 2020
Exploring the outdoor performance of a LiDAR-based ground plane checking system for the visually impaired
PHAT
EAI
DOI: 10.4108/eai.13-7-2018.165498
Abstract
INTRODUCTION: Individuals with visual impairments face a variety of challenges in their daily lives, from daily activities to physical world navigation. One of the biggest challenges is the ability to travel around safely and independently. This challenge is complicated and stressed to the visually impaired as the inability to perform obstacles or ground plane checking will result in severe injury or even death.
OBJECTIVES: This work aims to prove the outdoor performance of the developed solution in detecting and recognising the frontal ground plane conditions.
METHODS: The proposed model uses a LiDAR module as a distance-measuring tool to perform ground plane checking.
RESULTS: In the selected outdoor path-based scenarios, the ground plane checking system succeeded in achieving an overall recognition rate of 93.10%, with an overall false positive rate of 2.72% and average false negative rate of 4.25%.
CONCLUSION: Overall, the findings showed the ability of the proposed model to provide effective frontal ground plane checking for the visually impaired.
Copyright © 2020 A.B.C. Chai et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.