
LiFi/CamCom Drone Location Recognition Solution
Explore the concept of using LiFi and CamCom technologies for drone location recognition, providing an alternative to GPS-based systems in challenging environments. This innovative solution leverages light communication to enhance accuracy and efficiency in determining drone locations, benefiting applications such as ITS, ADAS, and IoT.
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July 2018 Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Submission Title: LiFi / CamCom Technology based Drone Location Recognition Solution doc.: IEEE 15-18- 0363-00-0vat Date Submitted: July 2018 Source: Jaesang Cha, Minwoo Lee, Vinayagam Mariappan (SNUST), Sangwoon Lee (Namseoul Univ.), Sooyoung Chang (SYCA) Address: Contact Information: +82-2-970-6431, FAX: +82-2-970-6123, E-Mail: chajs@seoultech.ac.kr Re: Abstract: This documents introduce the V2X LiFi / CamCom link design consideration for VAT. This proposed LiFi / CamCom link model for drone location recognition solution. This VAT solution can be used on the application services like ITS, ADAS, IoT/IoL, LED ID, digital signage with connected information services etc. on road condition. Purpose: To provided concept models of Light Communication based LiFi/CamCom solution for Vehicular Assistant Technology (VAT) Interest Group Notice: This document has been prepared to assist the IEEE P802.15. It is offered as a basis for discussion and is not binding on the contributing individual(s) or organization(s). The material in this document is subject to change in form and content after further study. The contributor(s) reserve(s) the right to add, amend or withdraw material contained herein. Release: The contributor acknowledges and accepts that this contribution becomes the property of IEEE and may be made publicly available by P802.15. Slide 1 Submission Jaesang Cha, SNUST
July 2018 doc.: IEEE 15-18- 0363-00-0vat Contents Needs for Drone Location Recognition Solution LiFi / CamCom Technology for Drone Location Recognition Solution Conclusion Slide 2 Submission Jaesang Cha, SNUST
July 2018 doc.: IEEE 15-18- 0363-00-0vat Needs for Drone Location Recognition Solution Drone Location Recognition Solution Currently, location awareness in drone flight systems is dependent entirely on GPS systems using satellites. GPS based drone location recognition services have relatively efficient and accurate in outdoor, but they are less accurate when there are many high-rise buildings in the vicinity or mountainous terrain Basic Concept LiFi / CamCom based location aware services can be used to calibrate locations by receiving coordinates in the area where the drones are located. GOOGLE < Drone Flying Scenario at Night > Uses the lighting system installed in the infrastructure and drone built- in camera to design the LiFi / CamCom Link Slide 3 Submission Jaesang Cha, SNUST
July 2018 doc.: IEEE 15-18- 0363-00-0vat LiFi / CamCom Link for Drone Location Recognition LiFi / CamCom Link for Drone Location Recognition Solution Rx PD or Image Sensor Tx : Power LED(Search Light) Rx : Photo Diode or Image Sensor Modulations : OOK, VPPM, Offset-VPWM, Multilevel PPM, Inverted PPM, Subcarrier PPM, DSSS SIK etc. Day-Night Communication Mode Tx Power LED (Search Light) Data Rate : 10K ~ 2Mb/s Supported LoS(Line of Sight) Available Distance : 10m ~ 100m < Drone Location Recognition Solution Using LiFi CamCom Link > Uses the high-intensity illumination such as search light, which can be placed on a building to mark the main location Slide 4 Submission Jaesang Cha, SNUST
July 2018 doc.: IEEE 15-18- 0363-00-0vat Conclusion Proposed the LiFi / CamCom Technology based Drone Location Recognition Solution. Uses high-intensity illumination such as Search Light, which can be placed on a building to mark the main location as a transmitter and drones use a built-in camera as a receiver. Provides the concept models of drone location recognition solution and when there are problems in the recognition of the location of the drones by GPS in the situation of many buildings and mountains, the proposed technology can be applied as an assistive technology. Slide 5 Submission Jaesang Cha, SNUST