A UAV BASED 3-D POSITIONING FRAMEWORK FOR DETECTING LOCATIONS OF BURIED PERSONS IN COLLAPSED DISASTER AREA
Regarding spatial location positioning, indoor location positioning theories based on wireless communication techniques such as Wi-Fi, beacon, UWB and Bluetooth has widely been developing across the world. These techniques are mainly focusing on spatial location detection of customers using fixed w...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-06-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/121/2016/isprs-archives-XLI-B8-121-2016.pdf |
Summary: | Regarding spatial location positioning, indoor location positioning theories based on wireless communication techniques such as Wi-Fi, beacon, UWB and Bluetooth has widely been developing across the world. These techniques are mainly focusing on spatial
location detection of customers using fixed wireless APs and unique Tags in the indoor environment. Besides, since existing
detection equipment and techniques using ultrasound or sound etc. to detect buried persons and identify survival status for them
cause 2<sup>nd</sup> damages on the collapsed debris for rescuers. In addition, it might take time to check the buried persons. However, the
collapsed disaster sites should consider both outdoor and indoor environments because empty spaces under collapsed debris exists.
In order to detect buried persons from the empty spaces, we should collect wireless signals with Wi-Fi from their mobile phone.
Basically, the Wi-Fi signal measure 2-D location. However, since the buried persons have Z value with burial depth, we also should
collect barometer sensor data from their mobile phones in order to measure Z values according to weather conditions. Specially, for
quick accessibility to the disaster area, a drone (UAV; Unmanned Arial Vehicle) system, which is equipped with a wireless detection
module, was introduced. Using these framework, this study aims to provide the rescuers with effective rescue information by
calculating 3-D location for buried persons based on the wireless and barometer sensor fusion. |
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ISSN: | 1682-1750 2194-9034 |