A CNN-Based Indoor Positioning Algorithm for Dark Environments: Integrating Local Binary Patterns and Fast Fourier Transform with the MC4L-IMU Device

A CNN-Based Indoor Positioning Algorithm for Dark Environments: Integrating Local Binary Patterns and Fast Fourier Transform with the MC4L-IMU Device

In our previous study, we proposed a vision-based ranging algorithm (LRA) that utilized a monocular camera with four lasers (MC4L) for indoor positioning in dark environments. The LRA achieved a positioning error within 2.4 cm using a logarithmic regression algorithm to establish a linear relationsh...

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Bibliographic Details
Main Authors: Nan Yin, Yuxiang Sun, Jae-Soo Kim
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
local binary pattern
fast Fourier transform
self-attention mechanism
CNNs
inertia-based indoor positioning algorithm
visual localization
Online Access:https://www.mdpi.com/2076-3417/15/7/4043
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