Abstract
The purpose of this paper is to develop a semi-autonomous multi-agent hybrid vehicle to explore and navigate collapsed underground mines. This work is intended to expedite the search and rescue process in the event of a mining disaster. The vehicle will be tasked with gathering environmental data, such as temperature and air quality, to send back to the mining rescue team. An additional role for the vehicle is locating and directing survivors with intelligent navigation procedures. The hybrid vehicle will consist of an Unmanned Ground Vehicle (UGV) housing a flying drone in a dust-proof box with an automatic opening hatch. The flying drone will be able to continue to navigate terrain that the ground vehicle may not be able to surpass, gather data, and return to the UGV with the data gathered. Additionally, the UGV will regularly drop wireless communication nodes to form a temporary wireless mesh network between the mine rescue team and the UGV. Backscatter communication will be developed to enable the battery-free communication between the flying drone and the trapped miners. The UGV will be equipped to navigate and collect data for thousands of feet within a featureless and GPS-denied environment. It will utilize LIDAR, depth camera and tracking camera technology in order to obtain a full sensory scan of its underground environment for use in navigation.
Original language | English |
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Title of host publication | AIAA AVIATION 2022 Forum |
DOIs | |
State | Published - 2022 |
Event | AIAA AVIATION 2022 Forum - Chicago, United States Duration: Jun 27 2022 → Jul 1 2022 |
Publication series
Name | AIAA AVIATION 2022 Forum |
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Conference
Conference | AIAA AVIATION 2022 Forum |
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Country/Territory | United States |
City | Chicago |
Period | 6/27/22 → 7/1/22 |
Bibliographical note
Publisher Copyright:© 2022, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Nuclear Energy and Engineering
- Aerospace Engineering