0% Complete
صفحه اصلی
/
بیست و نهمین کنفرانس مهندسی برق ایران
Large Scale Indoor VLC Positioning Using Image Sensor with Limited Field of View
نویسندگان :
Arezoo Kabiri
1
Foroogh Sadat Tabataba
2
1- دانشگاه صنعتی اصفهان
2- دانشگاه صنعتی اصفهان
کلمات کلیدی :
Angle difference of arrival, large scale environment, indoor positioning, image processing, visible light communication.
چکیده :
As global positioning system (GPS) has failed in indoor environments, numerous technologies are proposed to obtain better indoor positioning system performance. One of these technologies is based on visible light communication (VLC), which has become popular due to its benefits. This technique has shown significant advantages, including cost efficiency, long lifetime and good environmental friendliness. In this paper, we use VLC positioning based on the angle difference of arrival (ADOA) to estimate the position of people or devices in a large scale indoor environment using least square method. Two different placements for light-emitting diodes (LEDs) are considered. Assuming practical limited field of view (FOV) for the user's camera, part of LEDs in the image plane can be observed. Thus, we propose a simple method to find the position of users using the cross-correlation between the reference images and the user image. This approach reduces the search region. Simulation results show that, this method can achieve an average error of 32 cm in a 12m⨯12m⨯5.5m space in a 4X-shape LED placement, and in a checkered LED placement the average error is about 38 cm in a same size room.
لیست مقالات
لیست مقالات بایگانی شده
An Improved Real-Time Implementation of Adaptive Neuro-fuzzy Controller
Iman Gholizadeh - Haniye Raziyan - Reza Javidan
STAR-RIS Secrecy Rate Analysis in the Presence of Energy Harvesting Eavesdroppers
Mohammad Reza Kavianinia - Mohammad Javad Emadi
Design and Control of a Novel Multi-port Bidirectional Buck-Boost Converter Suitable for Hybrid Electric Vehicle Charging Stations
Amir Safaeinasab - Homayon Soltani Gohari - Karim Abbaszadeh
An Autonomous Multi Agent Q-Learning Approach for Resource Allocation in D2D-Enabled Heterogeneous Networks
Pouya Akhoundzadeh - Ghasem Mirjalily - Mohammad taghi Saadeghi
Temperature Prediction of Lithium-Ion Batteries for Thermal Management Systems Using Graph Convolutional Networks
Sepehr Ghalebi - Elaheh Sadat Ahmadi Mousavi - Farzaneh Abdollahi - Farschad Torabi
Technical and Economic Analysis of Voltage Sags Mitigation Methods
Sina Shakeri - Javad Khajouei - Saeid Esmaeili
Forecasting Tehran Stock Exchange Trend with Time Series Analysis, Fundamental Data, and Sentiment Analysis in News
Mahdi Shamisavi - Amir Jahanshahi
تخمین کانال های پهپاد به پهپاد با استفاده از فیلتر کالمن توسعه یافته
فهیمه رنجبر - محمدعلی سبقتی
بررسی نامتعادلی در مبدل DC به DC تمامپل شیفت فاز با یکسوکنندهی دوبرابرکنندهی جریان
رضا نرئی - یاسر کریمی - محمدهادی زارع
Net Load Forecasting of Household Prosumers Considering Deep Reinforcement Learning
Behzad Motallebi Azar - Rasool Kazemzadeh - Morteza Zare Oskouei - Behnam Mohammadi-Ivatloo
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.3.1