Indoor Navigation System

An innovative indoor navigation system designed to assist users in navigating complex indoor environments such as shopping malls, airports, and hospitals. The system leverages a combination of wireless technologies, including Wi-Fi and Bluetooth, alongside advanced algorithms for real-time positioning and route optimization. By utilizing existing infrastructure and mobile devices, the system offers a cost-effective solution that enhances user experience and accessibility. The proposed navigation system consists of three main components: a mapping module for indoor layout visualization, a positioning module that employs trilateration techniques to determine user location, and a routing module that generates optimal paths to desired destinations. The integration of user feedback mechanisms allows for continuous improvement and adaptation to changing environments. [1] Additionally, the system incorporates a dynamic and scalable architecture, allowing it to be easily deployed and adapted to various indoor settings with minimal infrastructure changes. It is designed to work seamlessly with mobile applications, providing users with real-time turn-by-turn directions, accessibility features, and notifications for points of interest. The system's ability to integrate with different wireless networks ensures high accuracy in location tracking, even in challenging environments where GPS signals may be weak or unavailable. This flexibility makes it an ideal solution for enhancing user navigation in diverse indoor spaces, fostering greater independence and convenience for all users, including those with disabilities.[2]

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Publication Details

Journal
SAMRIDDHI A Journal of Physical Sciences Engineering and Technology
Published
2025-03-29
DOI
https://doi.org/10.18090/samriddhi.v17i01.03
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
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article

Indoor Navigation System

Yogita H. Sonawane, Prathmesh Kashid, Ajit Chourashiya, Vishakha Sonawane et al.
SAMRIDDHI A Journal of Physical Sciences Engineering and Technology
Robotic Path Planning Algorithms
article

Indoor Navigation System

Yogita H. Sonawane, Prathmesh Kashid, Ajit Chourashiya, Vishakha Sonawane, Varsha Warungase, Pallavi Sonawane
article en

Abstract

An innovative indoor navigation system designed to assist users in navigating complex indoor environments such as shopping malls, airports, and hospitals. The system leverages a combination of wireless technologies, including Wi-Fi and Bluetooth, alongside advanced algorithms for real-time positioning and route optimization. By utilizing existing infrastructure and mobile devices, the system offers a cost-effective solution that enhances user experience and accessibility. The proposed navigation system consists of three main components: a mapping module for indoor layout visualization, a positioning module that employs trilateration techniques to determine user location, and a routing module that generates optimal paths to desired destinations. The integration of user feedback mechanisms allows for continuous improvement and adaptation to changing environments. [1] Additionally, the system incorporates a dynamic and scalable architecture, allowing it to be easily deployed and adapted to various indoor settings with minimal infrastructure changes. It is designed to work seamlessly with mobile applications, providing users with real-time turn-by-turn directions, accessibility features, and notifications for points of interest. The system's ability to integrate with different wireless networks ensures high accuracy in location tracking, even in challenging environments where GPS signals may be weak or unavailable. This flexibility makes it an ideal solution for enhancing user navigation in diverse indoor spaces, fostering greater independence and convenience for all users, including those with disabilities.[2]

SAMRIDDHI A Journal of Physical Sciences Engineering and TechnologyVol. 17(01)
Visvesvaraya National Institute of Technology (IN), Visvesvaraya Technological University (IN)
Openalex Percentile: Top 87%
Robotic Path Planning Algorithms
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Indoor Navigation System — Yogita H. Sonawane, Prathmesh Kashid, et al. · SAMRIDDHI A Journal of Physical Sciences Engineering and Technology (2025) | TGRS Research Map | TGRS