Treebased Single Led Indoor Visible Light Positioning Technique

• doi: 10.1109/TENCON58879.2023.10322350
• title: Tree-Based Single LED Indoor Visible Light Positioning Technique
• publisher: IEEE
• isbn: 979-8-3503-0220-2
• issn: 2159-3442
• rank: 3895
• access_type: LOCKED
• content_type: Conferences
• abstract: Visible light positioning(VLP) has gained prominence as a highly accurate indoor positioning technique. Few techniques consider the practical limitations of implementing VLP systems for indoor positioning. These limitations range from having a single LED in the field of view(FoV) of the image sensor to not having enough images for training deep learning techniques. Practical implementation of indoor positioning techniques needs to leverage the ubiquity of smartphones, which is the case with VLP using complementary metal oxide semi-conductor(CMOS) sensors. Images for VLP can be gathered only after the lights in question have been installed making it a cumbersome process. These limitations are addressed in the proposed technique, which uses simulated data of a single LED to train machine learning models and test them on actual images captured from a similar experimental setup. Such testing produced mean three dimensional(3D) positioning error of 2.88 centimeters while training with real images achieves accuracy of less than one centimeter compared to 6.26 centimeters of the closest competitor.
• article_number: 10322350
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322350
• html_url: https://ieeexplore.ieee.org/document/10322350/
• abstract_url: https://ieeexplore.ieee.org/document/10322350/
• publication_title: TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON)
• conference_location: Chiang Mai, Thailand
• conference_dates: 31 Oct.-3 Nov. 2023
• publication_number: 10322307
• is_number: 10322308
• publication_year: 2023
• publication_date: 31 Oct.-3 Nov. 2023
• start_page: 826
• end_page: 831
• citing_paper_count: 4
• citing_patent_count: 0
• download_count: 127
• insert_date: 20231122
• index_terms:
  • ieee_terms:
    • Training
    • Solid modeling
    • Three-dimensional displays
    • Sensor fusion
    • Light emitting diodes
    • Data models
    • Sensors
  • author_terms:
    • Visible light positioning
    • blender simulation
    • machine learning
    • neural network
    • visible light communication
    • single LED
  • dynamic_index_terms:
    • Visible Light Positioning
    • Machine Learning
    • Learning Models
    • Simulated Data
    • Machine Learning Models
    • Position Error
    • Train Machine Learning Models
    • Indoor Localization
    • Indoor Positioning
    • Similar Experimental Setup
    • Neural Network
    • Training Set
    • Training Data
    • Test Dataset
    • Computer Vision
    • Deep Learning Models
    • Realistic Model
    • Simulated Datasets
    • Random Forest Model
    • Simulated Images
    • XGBoost Model
    • World Coordinate System
    • Shutter Speed
    • Local Grid
    • LED Panel
    • Receiver Location
    • Corner Points
    • Test Points
    • Parameters Of Interest
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 979-8-3503-0220-2, isbnType: New-2005
  • format: Electronic ISBN, value: 979-8-3503-0219-6, isbnType: New-2005
• authors:
  • Author Name: Srivathsan Chakaravarthi Narasimman
    Affiliation: School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore
    Author URL: https://ieeexplore.ieee.org/author/37086029114
    ID: 37086029114
    Order: 1
    Author Affiliations:
    • School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore
  • Author Name: Arokiaswami Alphones
    Affiliation: School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore
    Author URL: https://ieeexplore.ieee.org/author/37276095800
    ID: 37276095800
    Order: 2
    Author Affiliations:
    • School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore

Image Sensor

• sensor_type: CMOS
• resolution: 1728x2304
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• sensitivity: ISO 100
• shutter_speed: 68 microseconds

Applications & Benefits

• cell_imaging: Not specified
• benefits: Enables accurate indoor positioning using visible light.

Supporting Organizations

• supported_by: Nanyang Technological University; Agency for Science, Technology and Research (A*STAR); Surbana Jurong Pte Ltd.

Manuscript Details

• publication_date: 31 Oct.-3 Nov. 2023

Relevancy Score

• score: 9
• missing_fields:
  • dynamic_range
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • power_consumption
  • noise

Processed JSON Filename

request_93a49cf0-b9b5-4794-9c44-ac683e897fb0-treebased_single_led_indoor_visible_light_positioning_technique.json