AR Indoor Mapping and Navigation
Abstract & Details
Research Area
Computer science and engineering
Keywords
Indoor Navigation
Augmented Reality
Location Based Services
Computer Vision Algorithms and User Friendly Experiences
Indoor Mapping.
Abstract
In the world of location-based services, indoor navigation has proven to be a difficult problem to solve. Due to a lack of GPS signals within, traditional methods like GPS-based navigation are useless. In this project, an augmented reality (AR)-based indoor mapping navigation system is proposed. The system is made to make it easier for people to move around interior spaces like malls, airports, hospitals, and other big structures.The suggested system makes advantage of augmented reality (AR) technology to give consumers a more immersive and intuitive navigating experience. The technology shows users directions, sites of interest, and other pertinent information on their mobile device's screen using an AR-capable camera and an indoor map that has already been constructed.Any object or location in the indoor environment can be pointed at by the user, and the system will instantly display any pertinent details and directions.The technology uses computer vision algorithms to identify indoor landmarks and items before superimposing augmented reality (AR) features to direct the user through the area.The suggested AR-based indoor mapping navigation system has the potential to completely transform interior navigation by giving users a more user-friendly and engaging experience. A number of experiments and user studies have been used to evaluate the system, and the findings indicate that it is a workable and efficient solution for indoor navigation.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Shariq Majeed Khan | AMC Engineering College |
| 2 | Snigdha Kesh | AMC Engineering College |
| 3 | Sibam Kumar | AMC Engineering College |
| 4 | Thanushree S | AMC Engineering College |
| 5 | Tamanna Sethia | AMC Engineering College |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Khan, Shariq Majeed, Kesh, Snigdha, Kumar, Sibam, S, Thanushree, & Sethia, Tamanna (2023). AR Indoor Mapping and Navigation. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 1279-1284.
MLA Style
Khan, Shariq Majeed, et al. "AR Indoor Mapping and Navigation." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 1279-1284.
IEEE Style
Shariq Majeed Khan, Snigdha Kesh, Sibam Kumar, Thanushree S, and Tamanna Sethia, "AR Indoor Mapping and Navigation," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 1279-1284, 2023.
Vancouver Style
Khan Shariq Majeed, Kesh Snigdha, Kumar Sibam, S Thanushree, Sethia Tamanna. AR Indoor Mapping and Navigation. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):1279-1284.
Harvard Style
Khan, Shariq Majeed, Kesh, Snigdha, Kumar, Sibam, S, Thanushree, & Sethia, Tamanna (2023) 'AR Indoor Mapping and Navigation', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 1279-1284.
Chicago Style
Khan, Shariq Majeed, et al. "AR Indoor Mapping and Navigation." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1279-1284.
Turabian Style
Khan, Shariq Majeed, et al. "AR Indoor Mapping and Navigation." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1279-1284.
Related Research
CYBERSECURITY WITH AI
PDF Unavailable
DESIGN AND IMPLEMENTATION OF A SECURE IMAGE STEGANOGRAPHY SYSTEM USING LSB AND CRYPTOGRAPHY
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
PDF Unavailable
BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
PDF Unavailable