scholarly journals Training and Support system in the Cloud for improving the situational awareness in Search and Rescue (SAR) operations

2014 ◽  
Author(s):  
Michal Pelka ◽  
Karol Majek ◽  
Janusz Bedkowski ◽  
Pawel Musialik ◽  
Andrzej Maslowski ◽  
...  
Keyword(s):  
Support System ◽  
Situational Awareness ◽  
Search And Rescue ◽  
Training And Support

Unmanned aerial systems (UAS) in urban search and rescue-methodology, capacity development, and integration

2021 ◽  
Vol 19 (1) ◽  
pp. 33-38
Author(s):  
Ariel Braverman, BSc, RN, EMT-P
Keyword(s):  
Situational Awareness ◽  
Search And Rescue ◽  
Unmanned Aerial Systems ◽  
Urban Search And Rescue ◽  
Emergency Operations ◽  
Ventilation Ducts ◽  
Speed Up ◽  
Modernization Process ◽  
Roadless Areas ◽  
Aerial Systems

This paper’s purpose is to establish a methodological basis for using unmanned aerial vehicles (UAV) in urban search and rescue (USAR). Modern USAR operations involve the location, rescue (extrication), and initial medical stabilization of individuals trapped in confined spaces or places with complicated access, eg, high structures. As a part of the ongoing modernization process, this paper explores possible options for UAV utilization in USAR operations. Today, UAV are already taking part in support emergency operations all over the world, and possible forms of operation for UAV in USAR environment can be in two primary modes: on-site and logistic chain. The on-site mode includes various capabilities of multilayer UAV array, mostly based on enhanced visual capabilities to create situational awareness and to speed-up search and rescue (SAR) process including using nanodrones for entering into confined places, ventilation ducts, and underground sewer channels can give to rescue teams’ opportunities to have eyes within ruins even before initial clearing process. Cargo drones will be able to bring equipment directly to high floors or roadless areas in comparison to wheeled transportation. The advantages of cargo drones operation are the ability of autonomous flight based on GPS or homing beacon and ability to provide logistics supports without involving additional personnel and vehicles and with no dependence on road conditions.

scholarly journals A Laser Scanner And Void Visualizer For Use In A Search And Rescue Environment

2021 ◽  
Author(s):  
Vijay Somers
Keyword(s):  
Situational Awareness ◽  
Laser Scanner ◽  
First Responders ◽  
Search And Rescue ◽  
Urban Search And Rescue ◽  
Slow Speed ◽  
High Resolution Data ◽  
3D Data ◽  
Explosive Devices ◽  
Resolution Data

Urban Search and Rescue (USAR) environments present many risks to emergency first responders. Technologies that can allow people to explore dangerous locations in great detail while being physically separate from them are of great value. This thesis provides an intuitive 3D viewing application called Voidviz for just that purpose, with features specifically designed for USAR and bomb identification. It is tested using 3D data gathered by two devices: a computerized theodolite, and a custom built laser scanner. The theodolite was found to be impractical for scanning dangerous locations due to its low resolution and slow speed, but the custom laser scanner was able to gather high resolution data at a useful speed. This thesis shows that useful data can be derived from sufficiently detailed simulations of voids within building collapses and unexploded explosive devices. This data can be used to increase the situational awareness of first responders.

scholarly journals Fuzzy Logic in Selection of Maritime Search and Rescue Units

2021 ◽  
Vol 12 (1) ◽  
pp. 21
Author(s):  
Marzena Malyszko
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Analysis ◽  
Support System ◽  
Action Planning ◽  
Search And Rescue ◽  
Multi Criteria Decision Analysis ◽  
Maritime Search And Rescue ◽  
Selection Of

The article discusses methods of ships assessment when determining their suitability for search and rescue action (SAR) at sea. Selection of the most preferable ships is one of the action planning elements. Due to various construction and equipment the civilian ships can only perform rescue task to a certain degree. According to the Multi-Criteria Decision Analysis (MCDA), many parameters and data have to be compared in order to create a ranking of vessels ordered according to the coordinator’s preferences. When data are missing, incomplete or uncertain, a similar effect can be obtained using fuzzy logic. The author discussed the nature of the criteria, evaluation methods and presented a simulation of a ship study using fuzzy logic. The author developed fuzzy rules and presented the principle of operation of the controller. The article deals with the main principles of a decision support system (DSS) for the selection of ships in SAR operations.

scholarly journals AiRobSim: Simulating a Multisensor Aerial Robot for Urban Search and Rescue Operation and Training

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5223 ◽  
Author(s):  
Junjie Chen ◽  
Shuai Li ◽  
Donghai Liu ◽  
Xueping Li
Keyword(s):  
Situational Awareness ◽  
Satellite System ◽  
Search And Rescue ◽  
Measurement Unit ◽  
Urban Search And Rescue ◽  
Critical Spaces ◽  
Rescue Operation ◽  
Holistic View ◽  
Urban Disaster ◽  
Aerial Robot

Unmanned aerial vehicles (UAVs), equipped with a variety of sensors, are being used to provide actionable information to augment first responders’ situational awareness in disaster areas for urban search and rescue (SaR) operations. However, existing aerial robots are unable to sense the occluded spaces in collapsed structures, and voids buried in disaster rubble that may contain victims. In this study, we developed a framework, AiRobSim, to simulate an aerial robot to acquire both aboveground and underground information for post-disaster SaR. The integration of UAV, ground-penetrating radar (GPR), and other sensors, such as global navigation satellite system (GNSS), inertial measurement unit (IMU), and cameras, enables the aerial robot to provide a holistic view of the complex urban disaster areas. The robot-collected data can help locate critical spaces under the rubble to save trapped victims. The simulation framework can serve as a virtual training platform for novice users to control and operate the robot before actual deployment. Data streams provided by the platform, which include maneuver commands, robot states and environmental information, have potential to facilitate the understanding of the decision-making process in urban SaR and the training of future intelligent SaR robots.

scholarly journals Urban Search and Rescue Situational Awareness using DIORAMA Disaster Management System

2015 ◽  
Vol 107 ◽  
pp. 349-356 ◽  
Author(s):  
Aura Ganz ◽  
James M. Schafer ◽  
Jingyan Tang ◽  
Zhuorui Yang ◽  
Jun Yi ◽  
...  
Keyword(s):  
Disaster Management ◽  
Management System ◽  
Situational Awareness ◽  
Search And Rescue ◽  
Urban Search And Rescue ◽  
Disaster Management System

The Shared Information Platform for Disaster Management –The Research and Development Regarding Technologies for Utilization of Disaster Information–

2019 ◽  
Vol 14 (2) ◽  
pp. 279-291 ◽  
Author(s):  
Yuichiro Usuda ◽  
Takashi Matsui ◽  
Hiroshi Deguchi ◽  
Toshikazu Hori ◽  
Shingo Suzuki ◽  
...  
Keyword(s):  
Information Sharing ◽  
Disaster Management ◽  
Support System ◽  
Disaster Response ◽  
Situational Awareness ◽  
Information Service ◽  
Information Platform ◽  
Disaster Information ◽  
Shared Information ◽  
The Cross

The common situational awareness among the disaster-response organizations and the appropriate action based on the information sharing are the key factor for the effective and efficient disaster response. Supported by the Cross-ministerial Strategic Innovation Promotion Program (SIP), we have developed the Shared Information Platform for Disaster Management (SIP4D) which facilitate the “cross-ministerial information sharing” by intermediating the various governmental organizations. Also, as the empirical research for utilize the shared disaster-information by SIP4D, we have developed the Medical Activity Support System for Disaster Management, the Reservoir Disaster Prevention Support System, and the Disaster Management Information Service Platform. In this paper, we introduce the overview of our R&D project, and report the implementation plans of our systems in the society.

Sign in / Sign up

Export Citation Format

Share Document