Drone Monitoring System for Disaster Areas Extended Abstract

被引:3
|
作者
Hock, Patrick [1 ]
Wakiyama, Koki [2 ]
Oshima, Chika [1 ]
Nakayama, Koichi [2 ]
机构
[1] Saga Univ, Fac Sci & Engn, Saga, Japan
[2] Saga Univ, Grad Sch Sci & Engn, Saga, Japan
关键词
AI drone; image processing; rescue support; system; disaster observation;
D O I
10.1145/3319619.3326885
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper, four systems for disaster countermeasures were implemented. The first one was a 3D reconstruction system. It would construct a 3D model from images taken by a drone. The second one was a human detection and posture analyzing system. A drone would find a person in eyesight, take a picture and let it be posture analyzed. This would help finding people in need. The third one was a self flying system for drones. Drones would be given a mission to carry out. Real time analysis of their eyesight would allow autonomous decisions for flying routes. The fourth one was a system, where one server would control multiple drones at the same time to gather information about remote disaster areas. In an experiment, the AI drone flew autonomously and created useful data for monitoring the area. As multiple drones could be used at the same time, this system has a large potential for making disaster area monitoring easier and disaster countermeasures more efficient.
引用
收藏
页码:1686 / 1690
页数:5
相关论文
共 50 条
  • [1] Deep Drone Acrobatics (Extended Abstract)
    Kaufmann, Elia
    Loquercio, Antonio
    Ranftl, Rene
    Mueller, Matthias
    Koltun, Vladlen
    Scaramuzza, Davide
    PROCEEDINGS OF THE THIRTIETH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2021, 2021, : 4780 - 4783
  • [2] Persistent Cooperative Monitoring System of Disaster Areas Using UAV Networks
    Noguchi, Taku
    Komiya, Yosuke
    2019 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI 2019), 2019, : 1595 - 1600
  • [3] Intelligent Drone Swarms to Search for Victims in Post-Disaster Areas
    Haddad, Matheus Nohra
    Santos, Andrea Cynthia
    Duhamel, Christophe
    Coco, Amadeu Almeida
    SENSORS, 2023, 23 (23)
  • [4] Drone Deployment Algorithms for Effective Communication Establishment in Disaster Affected Areas
    Varghese, Bivin Varkey
    Kannan, Paravurumbel Sreedharan
    Jayanth, Ravilal Soni
    Thomas, Johns
    Kumar, Kavum Muriyil Balachandran Shibu
    COMPUTERS, 2022, 11 (09)
  • [5] Using Biased Social Samples for Disaster Response Extended Abstract
    Morstatter, Fred
    2016 IEEE 2ND INTERNATIONAL CONFERENCE ON COLLABORATION AND INTERNET COMPUTING (IEEE CIC), 2016, : 456 - 457
  • [6] DETECTION AND MONITORING OF HONEYBEE DRONE CONGREGATION AREAS BY RADAR
    LOPER, GM
    WOLF, WW
    TAYLOR, OR
    APIDOLOGIE, 1987, 18 (02) : 163 - 172
  • [7] Provably correct runtime monitoring (extended abstract)
    Aktug, Irem
    Dam, Mads
    Gurov, Dilian
    FM 2008: FORMAL METHODS, PROCEEDINGS, 2008, 5014 : 262 - +
  • [8] Passive monitoring of DNS anomalies - (Extended abstract)
    Zdrnja, Bojan
    Brownlee, Nevil
    Wessels, Duane
    DETECTION OF INTRUSIONS AND MALWARE, AND VULNERABILITY ASSESSMENT, PROCEEDINGS, 2007, 4579 : 129 - +
  • [9] Extended Abstract: MedSN System for In-Home Patient Monitoring: Architecture, Privacy and Security
    Kuryloski, Philip
    Pai, Sameer
    Wicker, Stephen
    Xue, Yuan
    2007 JOINT WORKSHOP ON HIGH CONFIDENCE MEDICAL DEVICES, SOFTWARE AND SYSTEMS AND MEDICAL DEVICE PLUG-AND PLAY INTEROPERABILITY, 2007, : 189 - +
  • [10] Drone Technology for Monitoring Protected Areas in Remote and Fragile Environments
    Bollard, Barbara
    Doshi, Ashray
    Gilbert, Neil
    Poirot, Ceisha
    Gillman, Len
    DRONES, 2022, 6 (02)