| Records |
| Author |
Enrique Caballero; Angel Madridano; Dimitrios Sainidis; Konstantinos Konstantoudakis; Petros Daras; Pablo Flores |
| Title |
An automated UAV-assisted 2D mapping system for First Responders |
Type |
Conference Article |
| Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
| Volume |
|
Issue |
|
Pages |
890-902 |
| Keywords |
UAV, drone, 2D Mapping, Swarm, First Responders, Emergency Operations |
Abstract  |
Recent advances in the Unmanned Aerial Vehicles (UAVs) sector have allowed such systems to carry a range of sensors, thus increasing their versatility and adaptability to a wider range of tasks and services. Furthermore, the agility of these vehicles allows them to adapt to rapidly changing environments making them an effective tool for emergency situations. A single UAV, or a swarm working in collaboration, can be a handy and helpful tool for First Responders (FRs) during mission planning, mission monitoring, and the tracking of evolving risks. UAVs, with their on-board sensors, can, among other things, capture visual information of the disaster scene in a safe and quick manner, and generate an up-to-date map of the area. This work presents a system for UAV-assisted mapping optimized for FRs, including the generation of routes for the UAVs to follow, data collection and processing, and map generation. |
| Address |
Drone Hopper; Drone Hopper; Centre for Research & Technology, CERTH; Centre for Research & Technology, CERTH; Centre for Research & Technology, CERTH; Drone Hopper |
| Corporate Author |
|
Thesis |
|
| Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
978-1-949373-61-5 |
ISBN |
|
Medium |
|
| Track |
Technologies for First Responders |
Expedition |
|
Conference |
18th International Conference on Information Systems for Crisis Response and Management |
| Notes |
e.caballero@drone-hopper.com |
Approved |
no |
| Call Number |
ISCRAM @ idladmin @ |
Serial |
2381 |
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| Author |
Ryan K. Williams; Nicole Abaid; James McClure; Nathan Lau; Larkin Heintzman; Amanda Hashimoto; Tianzi Wang; Chinmaya Patnayak; Akshay Kumar |
| Title |
Collaborative Multi-Robot Multi-Human Teams in Search and Rescue |
Type |
Conference Article |
| Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
| Volume |
|
Issue |
|
Pages |
973-983 |
| Keywords |
Search \& Rescue; Autonomy; Lost-Person Modeling; GIS; Visualization |
| Abstract |
Robots such as unmanned aerial vehicles (UAVs) deployed for search and rescue (SAR) can explore areas where human searchers cannot easily go and gather information on scales that can transform SAR strategy. Multi-UAV teams therefore have the potential to transform SAR by augmenting the capabilities of human teams and providing information that would otherwise be inaccessible. Our research aims to develop new theory and technologies for field deploying autonomous UAVs and managing multi-UAV teams working in concert with multi-human teams for SAR. Specifically, in this paper we summarize our work in progress towards these goals, including: (1) a multi-UAV search path planner that adapts to human behavior; (2) an in-field distributed computing prototype that supports multi-UAV computation and communication; (3) behavioral modeling that yields spatially localized predictions of lost person location; and (4) an interface between human searchers and UAVs that facilitates human-UAV interaction over a wide range of autonomy. |
| Address |
Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech |
| Corporate Author |
|
Thesis |
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| Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
978-1-949373-27-87 |
ISBN |
2411-3473 |
Medium |
|
| Track |
Technologies for First Responders |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
| Notes |
rywilli1@vt.edu |
Approved |
no |
| Call Number |
|
Serial |
2288 |
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| Author |
Kyriaki Christaki; Dimitrios Tsiakmakis; Ivanka Babic; Guillaume Inglese; Konstantinos Konstantoudakis; Gabriele Giunta; Anastasios Dimou; Olivier Balet; Petros Daras |
| Title |
Augmented Reality Points of Interest for Improved First Responder Situational Awareness |
Type |
Conference Article |
| Year |
2022 |
Publication |
ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2022 |
| Volume |
|
Issue |
|
Pages |
755-770 |
| Keywords |
First responders; augmented reality; point of interest; UAV |
| Abstract |
Situational awareness is a vital component of any disaster response mission, both in terms of first responder (FR) safety and efficiency. Points of interest (POI) can pertain to hazards known beforehand, risks discovered during the course of a mission, victims, entry and exit routes, important equipment, and more. Although communications and technical means can expand an individual FR’s situational awareness, they depend on clarity and can increase cognitive load, as this expanded volume of information must be held in each FR’s memory. Augmented reality (AR) can visualize POIs in context with the environment in a clear and intuitive way and reduce cognitive load as the don’t rely on a user’s memory. This paper presents an AR solution for FR team situational awareness, comprising four interconnected and collaborating situational awareness tools sharing a common pool of virtual POIs, alongside a range of different functionalities particular to each. |
| Address |
Visual Computing Lab (VCL), Information Technologies Institute (ITI), Centre for Research and Technology- Hellas (CERTH), Thessaloniki, Greece; Visual Computing Lab (VCL), Information Technologies Institute (ITI), Centre for Research and Technology- Hella |
| Corporate Author |
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Thesis |
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| Publisher |
|
Place of Publication |
Tarbes, France |
Editor |
Rob Grace; Hossein Baharmand |
| Language |
English |
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
978-82-8427-099-9 |
Medium |
|
| Track |
Technologies for First Responders |
Expedition |
|
Conference |
|
| Notes |
|
Approved |
no |
| Call Number |
ISCRAM @ idladmin @ |
Serial |
2453 |
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| Author |
Lorscheidt, J.; Wehbe, B.; Cesar, D.; Becker, T.; Vögele, T. |
| Title |
Increasing diver safety for heavy underwater works by Sonar-to-Video Image Translation |
Type |
Conference Article |
| Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
| Volume |
|
Issue |
|
Pages |
166-176 |
| Keywords |
Diver Monitoring; GANs; Sonar Sensor Fusion; Marine Perception |
| Abstract |
Supervision of technical dives is particularly important in emergency and disaster response operations to ensure the safety of divers in unexplored locations with uncertain conditions. Diver monitoring relies primarily on voice communication and a video stream that gives the operator a first-person view of the diver. However, in many cases underwater visibility can drop to just a few centimeters, leaving the diver only able to feel his way with his hands and the operator depended only on voice communication, making it very difficult for both of them to identify upcoming hazards. In the DeeperSense research project, we are attempting to reduce the limitations caused by poor underwater visibility by using a sonar in combination with an AI-based algorithm designed to translate the sonar signal into a visual image that is independent of the turbidity of the water and gives an overview of the situation where the eye can no longer see anything. Laboratory results show that visual information can be recovered from sonar data. |
| Address |
German Federal Agency for Technical Relief; DFKI – Robotics Innovation Center; Kraken Robotik GmbH; |
| Corporate Author |
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Thesis |
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| Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
| Language |
English |
Summary Language |
|
Original Title |
|
| Series Editor |
Hosssein Baharmand |
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
1 |
| ISSN |
|
ISBN |
|
Medium |
|
| Track |
Technologies for First Responders |
Expedition |
|
Conference |
|
| Notes |
http://dx.doi.org/10.59297/KNWQ3005 |
Approved |
no |
| Call Number |
ISCRAM @ idladmin @ |
Serial |
2515 |
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| Author |
Tolt, G.; Rydell, J.; Bilock, E.; Eek, J.; Andersson, P.; Nygårds, J. |
| Title |
Real-time Multi-Sensor Positioning for First Responders |
Type |
Conference Article |
| Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
| Volume |
|
Issue |
|
Pages |
177-187 |
| Keywords |
Positioning; Real-Time; Multi-Sensor; Sensor Fusion; First Responders |
| Abstract |
This paper describes a concept for real-time positioning of first responders that includes a number of complementary sensors worn by the first responder, to increase accuracy and robustness in indoor and complex environments. By using sensors of different types, each with their own strengths and limitations, and fusing their respective outputs, the goal is to increase the usability of positioning information in time-critical and risky operations. This facilitates synchronization of activities and increases safety in the operation. The sensors included in the proposed real-time positioning module are shoe-mounted inertial measurement units, ultra-wideband radio, thermal and visual cameras, and GNSS. The fusion framework is based on factor graphs. This work-in-progress paper describes the individual sensor components and shows preliminary findings concerning the possibilities to improve position estimation through sensor fusion. |
| Address |
Swedish Defence Research Agency |
| Corporate Author |
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Thesis |
|
| Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
| Language |
English |
Summary Language |
|
Original Title |
|
| Series Editor |
Hosssein Baharmand |
Series Title |
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Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
1 |
| ISSN |
|
ISBN |
|
Medium |
|
| Track |
Technologies for First Responders |
Expedition |
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Conference |
|
| Notes |
http://dx.doi.org/10.59297/QGAD8737 |
Approved |
no |
| Call Number |
ISCRAM @ idladmin @ |
Serial |
2516 |
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| Author |
Tolt, G.; Rydell, J.; Tulldahl, M.; Holmberg, M.; Karlsson, O.; Bissmarck, F. |
| Title |
The MAX Drone for Autonomous Indoor Exploration |
Type |
Conference Article |
| Year |
2023 |
Publication |
Proceedings of the 20th International ISCRAM Conference |
Abbreviated Journal |
Iscram 2023 |
| Volume |
|
Issue |
|
Pages |
220-230 |
| Keywords |
UAV; Exploration; Navigation; Positioning; Autonomy |
| Abstract |
This paper presents the concept and prototype implementation of a drone for Multi-purpose Autonomous eXploration of indoor environments – MAX. The purpose of MAX is to support first responders in the difficult task of assessing unknown and potentially dangerous or hostile situations in indoor or underground environments. The approach for addressing challenges associated with this task has been to construct a custom-designed drone based on requirements and conditions of first responder missions. This paper reports on the first phase of development of the MAX drone, aimed for experimentation with autonomy functionality in first responder contexts and for enabling further development of advanced higher-level planning functions. It describes the overall design of the MAX drone, its capabilities in terms of robust positioning and autonomous mission execution, along with the status of key enabling algorithms for exploration, such as target point selection and path planning. |
| Address |
|
| Corporate Author |
|
Thesis |
|
| Publisher |
University of Nebraska at Omaha |
Place of Publication |
Omaha, USA |
Editor |
Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
| Language |
English |
Summary Language |
|
Original Title |
|
| Series Editor |
Hosssein Baharmand |
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
1 |
| ISSN |
|
ISBN |
|
Medium |
|
| Track |
Technologies for First Responders |
Expedition |
|
Conference |
|
| Notes |
http://dx.doi.org/10.59297/LYTB7325 |
Approved |
no |
| Call Number |
ISCRAM @ idladmin @ |
Serial |
2520 |
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| Author |
Thomas Theodoridis; George Katsikas; Nicholas Vretos; Petros Daras |
| Title |
A Symbiotic Orchestration Module for Multi-agent Collaboration in Disaster Response Scenarios |
Type |
Conference Article |
| Year |
2022 |
Publication |
ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2022 |
| Volume |
|
Issue |
|
Pages |
771-780 |
| Keywords |
Symbiotic controller; multi-robot collaboration; first responders; disaster response |
| Abstract |
This paper presents the Symbiotic Orchestration Module, which facilitates the collaboration of smart agents in disaster response scenarios. By effectively orchestrating the actions of different agents in critical situations towards a common goal, it enhances the individual capabilities of the agents and unlocks new possibilities that are not available when agents act isolated. To achieve this, the Symbiotic Orchestration Module is composed of four sub-modules: a) the Mission Controller, which is responsible for keeping track of ongoing missions, agent allocations and for handling non-collaborative missions, b) the Symbiotic Operation Control Module, which handles collaborative missions proposed by the system, c) the Task Allocation Module, which automatically assigns available robots to incoming missions based on robot capabilities and mission requirements, and d) the Task Recognition and Optimal Sequencing Module, which is responsible for recognizing opportunities for agent collaboration and for system-wide goal optimization. |
| Address |
Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), Thessaloniki, Greece; Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), Thessaloniki, Greece; Information Technologies |
| Corporate Author |
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Thesis |
|
| Publisher |
|
Place of Publication |
Tarbes, France |
Editor |
Rob Grace; Hossein Baharmand |
| Language |
English |
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
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Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
978-82-8427-099-9 |
Medium |
|
| Track |
Technologies for First Responders |
Expedition |
|
Conference |
|
| Notes |
|
Approved |
no |
| Call Number |
ISCRAM @ idladmin @ |
Serial |
2454 |
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| Author |
Ana María Cintora; Eva Teresa Robledo; Cristina Gomez; Raquel Lafuente; Ricardo García; Cristina Horrillo |
| Title |
Analysis of the Chemical Incidents from Seveso Directive according to Direct Fatalities and Injuries |
Type |
Conference Article |
| Year |
2022 |
Publication |
ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2022 |
| Volume |
|
Issue |
|
Pages |
1058-1067 |
| Keywords |
Major accident hazards; Seveso; chemical accidents; loss data; emergency preparedness |
| Abstract |
This paper provides a descriptive analysis of the eMARS database, which contains compulsory information on major chemical incidents under the SEVESO Directive. This analysis serves to assess the installations with the highest number of direct fatalities and injuries. At present, the data collected to assess the status of chemical accident risk globally are rather limited. There are some sources of data on chemical accidents in government and industry that might be used to estimate the frequency and severity of some types of events, but they are far from providing a complete perspective that covers all chemical accidents, thus limiting the possibilities of obtaining a more homogeneous picture of the risk of chemical accidents worldwide. Waste storage, treatment and disposal is one of the industrial areas with the highest number of fatalities and injuries, so we must emphasize the importance of this type of industry within the risk maps. |
| Address |
Prehospital Emergencies Medical Service Madrid Region (SUMMA112) Madrid, Spain; Prehospital Emergencies Medical Service Madrid Region (SUMMA112) Madrid, Spain; Prehospital Emergencies Medical Service Madrid Region (SUMMA112) Madrid, Spain; Prehospital Eme |
| Corporate Author |
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Thesis |
|
| Publisher |
|
Place of Publication |
Tarbes, France |
Editor |
Rob Grace; Hossein Baharmand |
| Language |
English |
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
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Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
978-82-8427-099-9 |
Medium |
|
| Track |
Technologies for First Responders |
Expedition |
|
Conference |
|
| Notes |
|
Approved |
no |
| Call Number |
ISCRAM @ idladmin @ |
Serial |
2471 |
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| Author |
Henry Agsten |
| Title |
Effects of Smartphone-Based Alerting on Reducing Arrival Times for Volunteer Fire Departments |
Type |
Conference Article |
| Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
| Volume |
|
Issue |
|
Pages |
990-994 |
| Keywords |
Volunteer Fire Departments; Time Reduction; Inefficiencies; Smartphone Application |
| Abstract |
This practitioner paper describes the efforts of a volunteer fire department in Germany to reduce the time to arrive at a place of emergency. It presents the former situation, identifies reasons for delays and highlights the volunteers' first years in utilizing an existing smartphone application for alert and response as a mean to optimize their times of arrival. The paper finally evaluates the effects of the application's usage. |
| Address |
Alarm Dispatcher Systems GmbH,Dresden, Germany |
| Corporate Author |
|
Thesis |
|
| Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
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Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
978-1-949373-27-89 |
ISBN |
2411-3475 |
Medium |
|
| Track |
Technologies for First Responders |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
| Notes |
ha@alarm-dispatcher.de |
Approved |
no |
| Call Number |
|
Serial |
2290 |
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| Author |
Edward J. Glantz; Frank E. Ritter; Don Gilbreath; Sarah J. Stager; Alexandra Anton; Rahul Emani |
| Title |
UAV Use in Disaster Management |
Type |
Conference Article |
| Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
| Volume |
|
Issue |
|
Pages |
914-921 |
| Keywords |
Disaster Response, Emergency Management, Drone, Unmanned Aircraft System (UAS), Unmanned Aerial Vehicle (UAV). |
| Abstract |
Unmanned aerial vehicles (UAV) provide multiple opportunities to first responders and disaster managers, especially as they continue to improve in affordability as well as capabilities. This paper provides a brief review of how UAV capabilities have been used in disaster management, examples of current use within disaster management, as well as adoption considerations. Example disaster domains include fires, tornadoes, flooding, building and dam collapses, crowd monitoring, search and rescue, and post disaster monitoring of critical infrastructures. This review can increase awareness and issues when considering UAVs by those challenged with the management of crisis and disaster events. |
| Address |
The Pennsylvania State University; The Pennsylvania State University; The Pennsylvania State University; The Pennsylvania State University; The Pennsylvania State University; The Pennsylvania State University |
| Corporate Author |
|
Thesis |
|
| Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
978-1-949373-27-81 |
ISBN |
2411-3467 |
Medium |
|
| Track |
Technologies for First Responders |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
| Notes |
edward.glantz@psu.edu |
Approved |
no |
| Call Number |
|
Serial |
2282 |
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| Author |
Dimitrios Sainidis; Dimitrios Tsiakmakis; Konstantinos Konstantoudakis; Georgios Albanis; Anastasios Dimou; Petros Daras |
| Title |
Single-Handed Gesture UAV Control and Video Feed AR Visualization for First Responders |
Type |
Conference Article |
| Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
| Volume |
|
Issue |
|
Pages |
835-848 |
| Keywords |
First responders, UAV, gesture control, augmented reality |
| Abstract |
Unmanned Aerial Vehicles (UAVs) are becoming increasingly widespread in recent years, with numerous applications spanning multiple sectors. UAVs can be of particular benefit to first responders, assisting in both hazard detection and search-and-rescue operations, increasing their situational awareness without endangering human personnel; However, conventional UAV control requires both hands on a remote controller and many hours of training to control efficiently. Additionally, viewing the UAV video-feed on conventional devices (e.g. smartphones) require first responders to glance downwards to look at the screen, increasing the risk of accident. To this end, this work presents a unified system, incorporating single-hand gesture control for UAVs and an augmented reality (AR) visualization of their video feed, while also allowing for backup remote UAV control from any device and multiple-recipient video streaming. A modular architecture allows the upgrade or replacement of individual modules without affecting the whole. The presented system has been tested in the lab, and in field trials by first responders. |
| Address |
Centre for Research & Technology Hellas (CERTH); Centre for Research & Technology Hellas (CERTH); Centre for Research & Technology Hellas (CERTH); Centre for Research & Technology Hellas (CERTH); Centre for Research & Technology Hellas (CERTH); Centre for |
| Corporate Author |
|
Thesis |
|
| Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
978-1-949373-61-5 |
ISBN |
|
Medium |
|
| Track |
Technologies for First Responders |
Expedition |
|
Conference |
18th International Conference on Information Systems for Crisis Response and Management |
| Notes |
dsainidis@iti.gr |
Approved |
no |
| Call Number |
ISCRAM @ idladmin @ |
Serial |
2377 |
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| Author |
Konstantinos Konstantoudakis; Georgios Albanis; Emmanouil Christakis; Nikolaos Zioulis; Anastasios Dimou; Dimitrios Zarpalas; Petros Daras |
| Title |
Single-Handed Gesture UAV Control for First Responders – A Usability and Performance User Study |
Type |
Conference Article |
| Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
| Volume |
|
Issue |
|
Pages |
937-951 |
| Keywords |
First Responders; UAV; Gesture Recognition; User Study |
| Abstract |
Unmanned aerial vehicles (UAVs) have increased in popularity in recent years and are now involved in many activities, professional and otherwise. First responders, those teams and individuals who are the first to respond in crisis situations, have been using UAVs to assist them in locating victims and identifying hazards without endangering human personnel needlessly. However, professional UAV controllers tend to be heavy and cumbersome, requiring both hands to operate. First responders, on the other hand, often need to carry other important equipment and need to keep their hands free during a mission. This work considers enabling first responders to control UAVs with single-handed gestures, freeing their other hand and reducing their encumbrance. Two sets of gesture UAV controls are presented and implemented in a simulated environment, and a two-part user study is conducted: the first part assesses the comfort of each gesture and their intuitive association with basic flight control concepts; and the second evaluates two different modes of gesture control in a population of users including both genders, and first responders as well as members of the general populace. The results, consisting of both objective and subjective measurements, are discussed, hindrances and problems are identified, and directions of future work and research are mapped out. |
| Address |
Visual Computing Lab (VCL), Information Technologies Institute (ITI), Centre for Research and Technology – Hellas (CERTH), Thessaloniki, Greece; Visual Computing Lab (VCL), Information Technologies Institute (ITI), Centre for Research and Technology – Hellas (CERTH), Thessaloniki, Greece;Visual Computing Lab (VCL), Information Technologies Institute (ITI), Centre for Research and Technology – Hellas (CERTH), Thessaloniki, Greece;Visual Computing Lab (VCL), Information Technologies Institute (ITI), Centre for Research and Technology – Hellas (CERTH), Thessaloniki, Greece;Visual Computing Lab (VCL), Information Technologies Institute (ITI), Centre for Research and Technology – Hellas (CERTH), Thessaloniki, Greece;Visual Computing Lab (VCL), Information Technologies Institute (ITI), Centre for Research and Technology – Hellas (CERTH), Thessaloniki, Greece;Visual Computing Lab (VCL), Information Technologies Institute (ITI), Centre for Research and Technology – Hellas (CERTH), Thessaloniki, Greece |
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Thesis |
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| Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
| Language |
English |
Summary Language |
English |
Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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| ISSN |
978-1-949373-27-84 |
ISBN |
2411-3470 |
Medium |
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| Track |
Technologies for First Responders |
Expedition |
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Conference |
17th International Conference on Information Systems for Crisis Response and Management |
| Notes |
k.konstantoudakis@iti.gr |
Approved |
no |
| Call Number |
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Serial |
2285 |
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| Author |
Samuel Auclair; Pierre Gehl; Mickael Delatre; Christophe Debray; Philippe Méresse |
| Title |
In-depth Analysis of Practitioners' Perceptions about Seismic Early Warning Prior to Aftershocks: The Point of View of the USAR Community |
Type |
Conference Article |
| Year |
2022 |
Publication |
ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2022 |
| Volume |
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Issue |
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Pages |
740-754 |
| Keywords |
Earthquake early warning; aftershock; search and rescue; USAR; INSARAG |
| Abstract |
Urban Search and Rescue (USAR) teams are particularly exposed to the risk of collapse of buildings due to aftershocks, making concept of earthquake early warning (EEW) particularly interesting. In addition to scientific advances in EEW, it is crucial to understand what are the real expectations and needs of USAR teams, and to what extent EEW solutions could meet them. In this study, we conduct a survey to collect insights from USAR rescuers: it highlights that aftershocks are a major concern for them. In this context, we find that the concept of EEW is very favorably received by the respondents, who consider different types of possible actions upon receipt of an early warning. This study provides a basis for the functional specifications of future solutions of EEW useful to all USAR teams, as well as for the definition of their modalities of engagement on the field. |
| Address |
BRGM; BRGM; French Ministry of the Interior, Directorate General for Civil Security and Crisis Management; Entente Valabre; BRGM |
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Thesis |
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Place of Publication |
Tarbes, France |
Editor |
Rob Grace; Hossein Baharmand |
| Language |
English |
Summary Language |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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| ISSN |
2411-3387 |
ISBN |
978-82-8427-099-9 |
Medium |
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| Track |
Technologies for First Responders |
Expedition |
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Conference |
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| Notes |
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Approved |
no |
| Call Number |
ISCRAM @ idladmin @ |
Serial |
2452 |
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| Author |
Tobias Andersson Granberg; Carl-Oscar Jonson; Erik Prytz; Krisjanis Steins; Martin Waldemarsson |
| Title |
Sensor Requirements for Logistics Analysis of Emergency Incident Sites |
Type |
Conference Article |
| Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
| Volume |
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Issue |
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Pages |
952-960 |
| Keywords |
Sensors; Emergency Response Planning; Tracking; Team Interaction |
| Abstract |
Using sensors to collect data at emergency incident sites can facilitate analysis of the logistic operations. This can be used to improve planning and preparedness for new operations. Furthermore, real-time information from the sensors can serve as operational decision support. In this work in progress, we investigate the requirements on the sensors, and on the sensor data, to facilitate such an analysis. Through observations of exercises, the potential of using sensors for data collection is explored, and the requirements are considered. The results show that the potential benefits are significant, especially for tracking patients, and understanding the interaction between the response actors. However, the sensors need to be quite advanced in order to capture the necessary data. |
| Address |
Linköping University, Department of Science and Technology; Linköping University, Center for Disaster Medicine and Traumatology, and Department of Biomedical and Clinical Sciences; Linköping University, Department of Computer and Information Science; Linköping University, Department of Science and Technology; Linköping University, Department of Science and Technology |
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Thesis |
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| Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
| Language |
English |
Summary Language |
English |
Original Title |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
978-1-949373-27-85 |
ISBN |
2411-3471 |
Medium |
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| Track |
Technologies for First Responders |
Expedition |
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Conference |
17th International Conference on Information Systems for Crisis Response and Management |
| Notes |
tobias.andersson.granberg@liu.se |
Approved |
no |
| Call Number |
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Serial |
2286 |
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| Author |
Cecilia Hammar Wijkmark; Ilona Heldal; Maria-Monika Metallinou |
| Title |
Experiencing Immersive VR Simulation for Firefighter Skills Training |
Type |
Conference Article |
| Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
| Volume |
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Issue |
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Pages |
913-921 |
| Keywords |
Virtual reality, training, firefighter, skills, user experiences |
| Abstract |
Virtual Reality (VR) technology has gained interest for training in many domains, including firefighter education and training. However, there is hesitation in accepting immersive VR technology, especially for skills training. This paper examines the results from a field study investigating how first-time users experience immersive VR comparing with hot fire live simulation (HF-LS) training, a training involving several human senses. This study included nineteen firefighter students, eight instructors, and seven experienced firefighters using a VR technology simulating fire, smoke, heat, and via haptic feedback hose and pressure experiences. Data investigating user experiences were collected through questionnaires and observations. The results show that experienced firefighters valued the training using this VR technology higher than students. Further findings illustrate a difference between different user groups regarding expectations on the realism of simulated representations. For example, the visual realism of the smoke and the fire was more appreciated by experienced firefighters than students and instructors. |
| Address |
Western Norway University of Applied Sciences; Western Norway University of Applied Sciences; Western Norway University of Applied Sciences |
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Thesis |
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| Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
| Language |
English |
Summary Language |
English |
Original Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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| ISSN |
978-1-949373-61-5 |
ISBN |
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Medium |
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| Track |
Technologies for First Responders |
Expedition |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
| Notes |
cecilia.hammar.wijkmark@hvl.no |
Approved |
no |
| Call Number |
ISCRAM @ idladmin @ |
Serial |
2383 |
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| Author |
Masahiro Watanabe; Yu Ozawa; Kenichi Takahashi; Eri Takane; Tetsuya Kimura; Soichiro Suzuki; Kenjiro Tadakuma; Giancarlo Marafioti; Terje Mugaas; Miltiadis Koutsokeras; Satoshi Tadokoro |
| Title |
Hardware Design and Tests of SMURF V1 Platform for Searching Survivors in Debris Cones |
Type |
Conference Article |
| Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
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Issue |
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Pages |
849-866 |
| Keywords |
Search and rescue (SaR), miniaturized mobile robot, wheeled robot, remotely operated vehicle (ROV), emergency responder |
| Abstract |
When a large-scale disaster such as earthquake occurs, a huge number of victims will be trapped under debris in a wide area. Rescue activities in debris are technically not easy and endanger the first responders. There are several methods for improving safety and efficiency of rescue operation, but their availability is limited to a certain area or short operating time. Our project called CURSOR is developing tools to comprehensively search victims using a large number of ground-based robots entering debris transported by aerial drones. Here we show the development of the exploration robot collecting information with several sensors. The robot system was designed based on the requirements and performance was evaluated by ruggedization tests and mobility tests. No critical problem was found in the durability, and the mobility showed as the same as the ordinary wheel. To improve the mobility, we are planning to apply a proposed unique track mechanism. |
| Address |
Tough Cyberphysical AI Research Center, Tohoku University; Graduate School of Information Sciences, Tohoku University; Tough Cyberphysical AI Research Center, Tohoku University; Graduate School of Engineering, Tohoku University; Department of System Safet |
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Thesis |
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| Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
| Language |
English |
Summary Language |
English |
Original Title |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
978-1-949373-61-5 |
ISBN |
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Medium |
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| Track |
Technologies for First Responders |
Expedition |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
| Notes |
watanabe.masahiro@rm.is.tohoku.ac.jp |
Approved |
no |
| Call Number |
ISCRAM @ idladmin @ |
Serial |
2378 |
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