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 Organization and functioning of the Polish Red Cross Rescue Group in Bedzin

2017 ◽  
Vol 11 (2) ◽  
pp. 40-43
Author(s):  
Dominika Śmieja
Keyword(s):  
Natural Disasters ◽  
Legal Status ◽  
First Aid ◽  
Search And Rescue ◽  
Red Cross ◽  
Medical Support ◽  
Rescue Team ◽  
First Aid Training ◽  
Fully Functioning ◽  
Mass Events

Polish Red Cross is a humanitarian organization providing aid in the events of natural disasters, mass accidents, and search-and-rescue operations. It educates the citizens by providing first aid training. The Polish Red Cross Recue Group System consists of three types of groups: the Rescue Group, the Medical Rescue Group and the Specialist Rescue Group. They are always ready to provide assistance, especially in times of catastrophes and natural disasters. Moreover, they provide medical support at mass events, such as concerts, live shows, etc.. The aim of this paper was to show in detail how these Rescue Groups function when providing medical support and to describe their legal status. In addition, I have described the organization and functioning of the Polish Red Cross Rescue Team in Bedzin, based on the documentation covering their activity in 2014. The documentation shows that the Rescue Team is a fully functioning, effective and efficient group, always at-the-ready. The number of rescue actions the group participated in shows that its members are fully qualified and experienced, thus the society can rely on them whenever necessary.

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 Aerial and Ground Robot Collaboration for Autonomous Mapping in Search and Rescue Missions

Drones ◽  
2020 ◽  
Vol 4 (4) ◽  
pp. 79
Author(s):  
Dimitrios Chatziparaschis ◽  
Michail G. Lagoudakis ◽  
Panagiotis Partsinevelos
Keyword(s):  
Humanoid Robot ◽  
Satellite System ◽  
Search And Rescue ◽  
Localization Algorithm ◽  
Localization And Mapping ◽  
Planning Algorithm ◽  
Crisis Scenarios ◽  
Trained Neural Network ◽  
Unknown Area ◽  
Global Navigation Satellite

Humanitarian Crisis scenarios typically require immediate rescue intervention. In many cases, the conditions at a scene may be prohibitive for human rescuers to provide instant aid, because of hazardous, unexpected, and human threatening situations. These scenarios are ideal for autonomous mobile robot systems to assist in searching and even rescuing individuals. In this study, we present a synchronous ground-aerial robot collaboration approach, under which an Unmanned Aerial Vehicle (UAV) and a humanoid robot solve a Search and Rescue scenario locally, without the aid of a commonly used Global Navigation Satellite System (GNSS). Specifically, the UAV uses a combination of Simultaneous Localization and Mapping and OctoMap approaches to extract a 2.5D occupancy grid map of the unknown area in relation to the humanoid robot. The humanoid robot receives a goal position in the created map and executes a path planning algorithm in order to estimate the FootStep navigation trajectory for reaching the goal. As the humanoid robot navigates, it localizes itself in the map while using an adaptive Monte-Carlo Localization algorithm by combining local odometry data with sensor observations from the UAV. Finally, the humanoid robot performs visual human body detection while using camera data through a Darknet pre-trained neural network. The proposed robot collaboration scheme has been tested under a proof of concept setting in an exterior GNSS-denied environment.

Relief Effort and Reconstruction after Wenchuan Ms8.0 Earthquake

2013 ◽  
Vol 275-277 ◽  
pp. 2727-2734
Author(s):  
Gui Zhen Wang ◽  
Ying Min Li ◽  
Li Ping Liu
Keyword(s):  
Natural Disasters ◽  
Wenchuan Earthquake ◽  
Input Power ◽  
Search And Rescue ◽  
Geological Hazards ◽  
Engineering Structures ◽  
Rescue Operation ◽  
Chinese Characteristics ◽  
Reconstruction Mode ◽  
Wenchuan Ms8.0 Earthquake

Wenchuan earthquake of May 12, 2008 in Sichuan province is most destructive, the most widely spread, the most difficultly to disaster relief in recent decades in China. The earthquake relief and reconstruction work is also the fastest, to mobilize the widest range of input power in an action, creating a miracle of the world's earthquake relief and reconstruction. Those successful practices provided a valuable experience reference to other areas for fight against natural disasters and rebuild their homes. This article describes the damage of housing, roads, bridges and other engineering structures and landslides mudslides, dammed lakes and other geological hazards triggered by earthquakes; Outlines the effort of the rescue operation, including personnel search and rescue, road rehabilitation, caring for the wounded, people placement and soon; Summarizes the reconstruction strategies and policies, including with Chinese characteristics” counterpart support” reconstruction mode which means a province to help a county. In the end, the article discusses the earthquake relief and reconstruction experience and inspiration.

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.

scholarly journals Specially Designed Multi-Functional Search And Rescue Robot

2020 ◽  
Keyword(s):  
Natural Disasters ◽  
High Performance ◽  
Human Life ◽  
Search And Rescue ◽  
Raspberry Pi ◽  
Robot System ◽  
Building Collapse ◽  
Rescue Robot ◽  
Vision Control ◽  
Robot Systems

In digital era, robots are becoming an integral part of human life due to their efficiency and high performance. In recent years, search and rescue robot systems are used tremendously in a natural disaster. Nowadays, many areas of the world are getting affected due to natural disasters. Disasters can be exceptional and unstoppable events that are either man-made or natural, such as building collapse, earthquakes, wildfires, and floods, etc. This witnesses the importance of search and rescue robot systems in the emergency field. In the emergency field, a variety of sensing and wireless technologies are used in remote and vision control. The use of these technologies, the rescuers instead of going inside in the ruined area, can control remotely search and rescue robot systems when natural calamity occurs. These robot systems have the ability to move and monitor in the ruined area as a result of natural disasters such as building collapse, earthquakes, wildfires, and floods. In this paper, we design a sensor-based multi-functional search and rescue robot system for use in emergency situations. The system consists of an Arduino Mega board, Raspberry Pi 3 Model B+ board, servo motor, camera, Direct Current motor, motor driver module, stepper motor, Darlington Transistor Arrays, and ultrasonic sensor. The multi-functional search and rescue robot system has the ability to help the rescuers to search and show the ruined area from far away. The rescuers also could save their lives using this robot system. The main objective of this paper is to design a multi-functional, easy to control, microcontroller and Vision control based rescue robot system.

scholarly journals Effectiveness of Community-Based Disaster Management in Cabanatuan City

2020 ◽  
Vol 6 (01) ◽  
Author(s):  
Kim Edward Santos Santos
Keyword(s):  
Natural Disasters ◽  
Disaster Management ◽  
The Philippines ◽  
Short Term ◽  
Community Based ◽  
Social Divisions ◽  
Rescue Team ◽  
The Impact ◽  
Descriptive Method

Disasters in the Philippines serve as great vanguards defying all existing social divisions and stratifications, influencing all, and uniting communities across boundaries in order to prepare and prevent it. This study focused on the Community Based Disaster Management in selected barangays of Cabanatuan City. The main problem of the study is to determine the effectiveness of Community Based Disaster Management. The respondents of the study were 100 residents and was conducted at ten (10) selected barangays of Cabanatuan City namely: Aduas Centro, Aduas Norte, Aduas Sur, Isla, Sumacab Este, Sumacab Norte, Sumacab Sur, Pagas, Kapitan Pepe, and Valdifuente. The researcher used descriptive method of research. The findings of the study were: early delivery of warning that affects the alertness of the residents had been confirmed effective by the most of the respondents; the prevention and minimizing the impact of natural disasters made by the barangay were properly prepared and necessary actions were taken properly. In terms of conducting short term recovery, there is a sufficient supply of relief goods that helped the respondents to recover faster and the rescue team conducts their job without further delay.

scholarly journals The range of the Helgason-Fourier transformation on homogeneous trees

1999 ◽  
Vol 59 (2) ◽  
pp. 237-246 ◽  
Author(s):  
Michael Cowling ◽  
Alberto G. Setti
Keyword(s):  
Reference Point ◽  
Fourier Transformation ◽  
Symmetric Spaces ◽  
Closed Ball ◽  
Homogeneous Tree ◽  
Homogeneous Trees ◽  
Fixed Reference ◽  
Decreasing Functions

Let be a homogeneous tree, o be a fixed reference point in , and be the closed ball of radius N in centred at o. In this paper we characterise the image under the Helgason–Fourier transformation ℋ of , the space of functions supported in , and of , the space of rapidly decreasing functions on . In both cases our results are counterparts of known results for the Helgason–Fourier transformation on noncompact symmetric spaces.

Sign in / Sign up

Export Citation Format

Share Document