Guide for Training of a Land Search and Rescue Team Member

10.1520/f2751 ◽  
2015 ◽  
Author(s):  
Keyword(s):  
Team Member ◽  
Search And Rescue ◽  
Rescue Team

Multi-robot search and rescue team

2011 ◽  
Author(s):  
Cai Luo ◽  
Andre Possani Espinosa ◽  
Danu Pranantha ◽  
Alessandro De Gloria
Keyword(s):  
Search And Rescue ◽  
Rescue Team ◽  
Multi Robot

scholarly journals Automatic Detection of Wrecked Airplanes from UAV Images

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Anhar Risnumawan ◽  
Muhammad Ilham Perdana ◽  
Alif Habib Hidayatulloh ◽  
A. Khoirul Rizal ◽  
Indra Adji Sulistijono ◽  
...  
Keyword(s):  
Visual Information ◽  
Detection System ◽  
Search And Rescue ◽  
Color Variation ◽  
Aerial Images ◽  
Rescue Team ◽  
Access Road ◽  
Uav Images ◽  
Exploration Area ◽  
Accident Site

Searching the accident site of a missing airplane is the primary step taken by the search and rescue team before rescuing the victims. However, due to the vast exploration area, lack of technology, no access road, and rough terrain make the search process nontrivial and thus causing much delay in handling the victims. Therefore, this paper aims to develop an automatic wrecked airplane detection system using visual information taken from aerial images such as from a camera. A new deep network is proposed to distinguish robustly the wrecked airplane that has high pose, scale, color variation, and high deformable object. The network leverages the last layers to capture more abstract and semantics information for robust wrecked airplane detection. The network is intertwined by adding more extra layers connected at the end of the layers. To reduce missing detection which is crucial for wrecked airplane detection, an image is then composed into five patches going feed-forwarded to the net in a convolutional manner. Experiments show very well that the proposed method successfully reaches AP=91.87%, and we believe it could bring many benefits for the search and rescue team for accelerating the searching of wrecked airplanes and thus reducing the number of victims.

Medical Rescue of China International Search & Rescue Team (CISAR) in Nepal Earthquake

2016 ◽  
Vol 12 (4) ◽  
pp. 536-538 ◽  
Author(s):  
Jiong Yang ◽  
Zhen Yang ◽  
Qi Lv ◽  
Hai-feng Liu ◽  
Hui Ding ◽  
...  
Keyword(s):  
Public Health ◽  
General Hospital ◽  
Search And Rescue ◽  
Police Force ◽  
Medical Team ◽  
Public Health Preparedness ◽  
Rescue Mission ◽  
Rescue Work ◽  
Nepal Earthquake ◽  
Rescue Team

AbstractOn April 25, 2015, a massive 8.1-magnitude earthquake struck Nepal at 2:11 pm (Beijing time). The 68-member-strong China International Search & Rescue Team (CISAR) left for Nepal at 6 am, April 26, to help with relief work. The CISAR was the first foreign team to rescue a survivor who was trapped beneath the rubble in the Gongabu area after the earthquake. On May 8, the team fulfilled the search-and-rescue mission and returned to Beijing. During the 2 weeks of rescue work, the team treated more than 3700 victims and cleared approximately 430 buildings. In this rescue mission, 10 experienced medical officers (including nine doctors and a nurse) from the General Hospital of Chinese People’s Armed Police Force (PAP) comprised the medical team of CISAR. In this report, we focus on the medical rescues by CISAR and discuss the characteristics of the medical rescue in Nepal. (Disaster Med Public Health Preparedness. 2018;12:536–538)

THE SWARM-BASED EXPLORATION ALGORITHM WITH EXPANDED CIRCLE PATTERN FOR SEARCHING ACTIVITIES

2015 ◽  
Vol 77 (20) ◽  
Author(s):  
Muhammad Fuad Riza Zuhri ◽  
Ammar Zahari ◽  
Recky Desia ◽  
Amelia Ritahani Ismail ◽  
Mohammed Al Haek
Keyword(s):  
Natural Disasters ◽  
Reference Point ◽  
Search And Rescue ◽  
Search Procedure ◽  
Circle Pattern ◽  
Rescue Team ◽  
Expanding Circle ◽  
Fixed Reference ◽  
Unknown Area

Searching Mechanism is an important technique that is usually used by Search and Rescue team to find people especially victims for natural disasters. In this paper, we propose an exploration algorithm using quadcopter in simulation to discover an unknown area that is based on the expanding circle pattern for searching activities. Expanding circle searching pattern is a circular search procedure that is conducted by a series of distances around a fixed reference point, which can be used for unknown area exploration. The simulation is implemented in a swarm-based environment as it can increase the performance of robots for exploration compared to the non-swarm based environment. Based on the initial simulation result, the swarm-based exploration algorithm with the expanding circle pattern can maximize the searching area covered if compared with only having individual searching robot.

scholarly journals CBRN Decontamination Tasks Supporting Rescue and Extraction Missions in CBRN Environment

Hadmérnök ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 31-41
Author(s):  
Attila Csóka
Keyword(s):  
Main Part ◽  
Search And Rescue ◽  
Advisory Group ◽  
Rescue Team ◽  
Group A

“Search and Extraction” is a NATO capability requirement without definition. The study shows the civilian search and rescue team requirements based on the Guidelines of the International Search and Rescue Advisory Group. A new definition is proposed: “Rescue and Extraction”. In the main part of the study the problems of CBRN decontamination of vehicles, equipment and personnel during a Rescue and Extraction task are discussed.

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