Osaragi, T., Suematsu, T., Oki, T., & Kakizaki, A. (2023). Local Disaster Mitigation Technology with Travel Support Application. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 112–125). Omaha, USA: University of Nebraska at Omaha.
Abstract: Efficient and rapid rescue activities are vital in the immediate aftermath of a large-scale disaster. However, the locations of the tasks requested (e.g. rescues, relief, special care, and assistance) and those who support, assist, or respond are often spatially separated. In this paper, we developed a Web application (travel support application) to support the efficient travel of responders by integrating a method of optimizing travel and navigation for rescue activities and a system of real-time disaster information collection and sharing. We then demonstrated the efficiency of the travel support application through some field experiments. Also, we conducted a demonstration experiment assuming a flood disaster at the crisis management office of a local government. Finally, the possibility of using the developed system at non-emergencies was examined to address the common problem of disaster prevention systems.
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LaLone, N., Dugas, P. O. T., & Semaan, B. (2023). The Crisis of Designing for Disaster: How to Help Emergency Management During The Technology Crisis We Created. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 126–143). Omaha, USA: University of Nebraska at Omaha.
Abstract: Emergency Management (EM) is experiencing a crisis of technology as technologists have attempted to innovate standard operating procedures with minimal input from EM. Unsurprisingly, there has yet to be a success. Instead, technologists have focused on consumer culture and fostered a slow-moving crisis as the gap between what consumers and EM can do is deep. At present, the most ubiquitous aspect of technology in disaster is its capacity to exacerbate response, create new kinds of disaster, and create consumer expectations that EM cannot meet. In the present work, we highlight how and why technological production needs to shift its ontological premises dramatically to meet the needs of technology for first responders. From supporting practice to taking a few steps back from the bleeding edge, we offer a range of suggestions based on the technological capacities of emergency management in the present and in the future.
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Zelenka, J., Kasanický, T. š, Gatial, E., Balogh, Z., Majlingová, A., Brodrechtova, Y., et al. (2023). Coordination of Drones Swarm for Wildfires Monitoring. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 144–151). Omaha, USA: University of Nebraska at Omaha.
Abstract: As a result of climate change and global weather patterns, large forest fires are becoming more frequent in different parts of the world. The focus of the presented work is on creation of a complex coordination and communication framework for a swarm of drones specially tailored for use in preventing and monitoring of forest fires. The presented algorithm has been testing and evaluating using a computer simulation. The testing and validation in relevant environment is scheduled during a pilot demonstration exercise with real personnel and equipment, which will take place in Slovakia on April 2023. The presented work is a part of the SILVANUS EU H2020 project, whose objective is the creation of a climate resilient forest management platform for forest fire prevention and suppression. SILVANUS draws on environmental, technical, and social science experts to support regional and national authorities responsible for forest fire management in their respective countries.
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Balogh, Z., Gatial, E., Dolatabadi, S. H., Dlugolinský, Štefan, Saltarella, M., Scipioni, M. P., et al. (2023). Communication Protocol for using Nontraditional Information Sources between First Responders and Citizens during Wildfires. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 152–165). Omaha, USA: University of Nebraska at Omaha.
Abstract: One of the biggest challenges faced during the wildfires is communication. A specific case represents the need to establish communication between first responders and the public. This paper presents a proposal for a generic protocol to ensure effective communication between fire fighters and many citizens at the incident site or in the surrounding area using nontraditional information sources such as a dedicated mobile app or social media. Specific challenges, concepts and technologies relevant to such communication are described specifically customized for forest fires and wildfires. The protocol itself is provided by proposing information flows between the involved actors. Moreover, several technologies including a Citizen Engagement Mobile App, an Edge Micro Data Center for forward command centers, a Mesh in the Sky communication infrastructure or a Dashboard integrating and displaying all the data in one place is shortly introduced. The presented paper is a work in progress.
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Lorscheidt, J., Wehbe, B., Cesar, D., Becker, T., & Vögele, T. (2023). Increasing diver safety for heavy underwater works by Sonar-to-Video Image Translation. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 166–176). Omaha, USA: University of Nebraska at Omaha.
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.
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Tolt, G., Rydell, J., Bilock, E., Eek, J., Andersson, P., & Nygårds, J. (2023). Real-time Multi-Sensor Positioning for First Responders. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 177–187). Omaha, USA: University of Nebraska at Omaha.
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.
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Cámbara, G., Grivolla, J., Farrús, M., & Wanner, L. (2023). Automatic Speech Translation for Multinational First Responder Teams. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 188–196). Omaha, USA: University of Nebraska at Omaha.
Abstract: Big disasters as increasingly observed all over the world, often require the involvement of a large number of personnel, in particular personnel acting in the field, i.e., First Responders. By far not always local teams are sufficient. As a consequence, in particular in Europe, teams from different member states are dispatched to support the local teams. However, this bears a potential of miscommunication since it cannot be taken for granted that English is mastered to a sufficient degree by everybody to serve as lingua franca. In this paper, we present work in progress carried out in the context of the INGENIOUS project on an automatic speech translation module that facilitates the interaction between First Responders speaking different languages. The module is embedded into the Telegram Messenger Application and consists of three main modules: Automatic Speech Recognition, Machine Translation, and Text-to-Speech, which are applied in sequence. We opt for a pipeline solution instead of end-to-end speech translation in order to guarantee the availability of the original speech transcriptions and their translations.
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Holzhüter, M., Huhle, G., Reuter-Oppermann, M., Hellriegel, J., & Klafft, M. (2023). Acceptance study on application systems to improve situational incident management through bi-directional communication between citizens and decision-makers in emergencies and crises situations. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 197–207). Omaha, USA: University of Nebraska at Omaha.
Abstract: Efficient hazard prevention and disaster control depend on situational awareness. Situational information is – among others – provided by citizens on the ground. Disaster managers are often reluctant to use such information on a large scale or in a systematic way for fear of being overwhelmed by information overload in a stressful crisis. New information technologies for crisis management are strongly dependent on the acceptance of the people using them and can only be successful as socio-technical systems. Therefore, 354 employees of public and private emergency operation centres as well as members of crisis management teams were asked to assess different information sharing technologies. 504 people from the public responded to an online survey about their willingness to use such technologies. The results indicate a high level of acceptance by both user groups for bi directional communication technologies for situation management and the improvement of situational awareness.
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Paulini, M. S., Duran, D., Rice, M., Andrekanic, A., & Suri, N. (2023). KENNEL Threat Detection Boxes for First Responder Situational Awareness and Risk Management. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 208–219). Omaha, USA: University of Nebraska at Omaha.
Abstract: KENNEL is a deployable IoT-based system consisting of a network of unattended ground sensors, known as Threat Detection Boxes (TDBs), which may be outfitted with any variety of custom and commercial-off-the-shelf sensors for hazard detection. The KENNEL system fills a technological gap for sensor fusion, interpretation, and real-time alerting via existing information management systems, such as Team Awareness Kit (TAK). First responders face a critical need for improved situational awareness, detection, and response to hazardous events. KENNEL provides a first of its kind, low-cost sensing & data fusion platform that is highly extensible, configurable, and self-sustaining, opening a world of modernization and innovation possibilities across the first responder domain. TDBs may also be statically or ad hoc deployed, improving flexibility, stand-off hazard detection, and resilience in the operational domain. From critical infrastructure monitoring to wearables, the system affords timeliness of critical information for effective risk management and increased personnel safety.
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Tolt, G., Rydell, J., Tulldahl, M., Holmberg, M., Karlsson, O., & Bissmarck, F. (2023). The MAX Drone for Autonomous Indoor Exploration. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 220–230). Omaha, USA: University of Nebraska at Omaha.
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.
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Gkika, I., Pattas, D., Konstantoudakis, K., & Zarpalas, D. (2023). Object detection and augmented reality annotations for increased situational awareness in light smoke conditions. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 231–241). Omaha, USA: University of Nebraska at Omaha.
Abstract: Innovative technologies powered by Computer Vision algorithms can aid first responders, increasing their situ ational awareness. However, adverse conditions, such as smoke, can reduce the efficacy of such algorithms by degrading the input images. This paper presents a pipeline of image de-smoking, object detection, and augmented reality display that aims to enhance situational awareness in smoky conditions. A novel smoke-reducing deep learning algorithm is applied as a preprocessing step, before state-of-the-art object detection. The detected objects and persons are highlighted in the user’s augmented reality display. The proposed method is shown to increase detection accuracy and confidence. Testing in realistic environments provides an initial evaluation of the method, both in terms of image processing and of usefulness to first responders.
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Dahlke, D., Kaiser, S., & Bayer, S. (2023). Self-Localization: A proposal to equip first responders with a robust and accurate GNSS device. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 242–251). Omaha, USA: University of Nebraska at Omaha.
Abstract: In this paper we explore the GNSS positioning capabilities in the context of search and rescue operations. Our contribution is a tool that robustly receives and precisely evaluates GNSS signals. The final positioning information is then transmitted to an orchestrator where other tools like augmented reality utilities or the command and control have access to. During the time from the project start in September 2021 to December 2022 the components have been chosen, and the design and software of the tool have been developed. Furthermore, some of the tool’s capabilities have been tested and compared during field trials with first responders and measurement campaigns. The developed tool outperforms the commonly used smartphone localization in terms of accuracy, operation time and time to get a GNSS fix. This reliability improvement helps to identify someones position in adverse conditions.
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Samuel Auclair, Pierre Gehl, Mickael Delatre, Christophe Debray, & Philippe Méresse. (2022). In-depth Analysis of Practitioners' Perceptions about Seismic Early Warning Prior to Aftershocks: The Point of View of the USAR Community. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 740–754). Tarbes, France.
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.
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Kyriaki Christaki, Dimitrios Tsiakmakis, Ivanka Babic, Guillaume Inglese, Konstantinos Konstantoudakis, Gabriele Giunta, et al. (2022). Augmented Reality Points of Interest for Improved First Responder Situational Awareness. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 755–770). Tarbes, France.
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.
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Thomas Theodoridis, George Katsikas, Nicholas Vretos, & Petros Daras. (2022). A Symbiotic Orchestration Module for Multi-agent Collaboration in Disaster Response Scenarios. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 771–780). Tarbes, France.
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.
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Sofie Pilemalm. (2022). Barriers to Digitalized Co-production: the Case of Volunteer First Responders. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 782–790). Tarbes, France.
Abstract: Information and communication technology (ICT) and digitalization are often seen as enablers of co-production. But if its potential is not implemented, technology will rather act as a barrier. In Sweden, new types of “hybrid” co-production initiatives that engage civil citizen volunteers as first responders emerged a decade ago. Even though the benefits are recognized, the initiatives’ expansion are hampered by the ICT solutions. In this study, we explore why, by comparing the perspectives of national authorities, needs-owners, suppliers, and end-users. We describe the barriers, e.g., insufficient geofencing, to develop ICT for various mobile platforms, unavailability of a joint API, competitiveness and double roles among stakeholders, and ICT costs. We suggest how to address the barriers and argue that digitalized co-production of the type presented will likely increase. Here our study can contribute to the successive accumulation of knowledge.
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Ophélie Morand, Caroline Rizza, Stéphane Safin, & Robert Larribau. (2022). Improving Cardiopulmonary Resuscitation by Building Trust between Dispatchers and Citizens through Simulation Workshop. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 791–802). Tarbes, France.
Abstract: Improving the survival rate of Out-of-Hospital Cardiac Arrest (OHCA) remains an important public health issue. Indeed, current survival rates are approximately 10% and can be significantly enhanced by early Cardiopulmonary reanimation (CPR) and early defibrillation. Bystanders are most likely to perform these acts, but few resources (such as digital apps) are dedicated to them due to a lack of confidence in their abilities from them and from the professionals. In order to build trust and collaboration between the dispatchers and the bystanders, an OHCA simulation workshop was conducted involving the whole survival chain. The main idea consisted in getting the participants to interact via an application dedicated to bystanders which provided a CPR demonstration video. The aim was to analyze the effects of this video on the CPR itself and especially on the lived-experience of the participants. A further objective was to assess how the shared workshop would affect the relationship between the stakeholders.
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Ana Maria Aldea Reyes, Marta Burgos Gonzalez, & Susana Izquierdo Funcia. (2022). Ethics in Catastrophes, Extraordinary Decisions. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 814–819). Tarbes, France.
Abstract: European research projects take ethical aspects into central consideration. In this extended abstract we have developed the methodology of the Search and Rescue (SnR) project and research made in relation to the ethical aspects of animal welfare.
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Samuel Auclair, Christian Iasio,, reï Balgiu, Antoni Blasquez, Jean-Christophe Castagnos, et al. (2022). Post-earthquake Damage Assessment: Feedback from a Cross-Border Crisis Exercise. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 1000–1007). Tarbes, France.
Abstract: In November 2021, a large-scale crisis exercise was organized in the heart of the Pyrenees. The main objective of this cross-border exercise between France, Spain and Andorra was to allow practitioners to prepare for a largescale earthquake, by testing the contribution of the tools developed within the framework of the European project POCRISC. Among the different functions activated during the exercise, this article focuses on the particularly critical function of emergency assessment of building damage. It analyses the feedback from the exercise participants asked to evaluate the deployment, coordination and operation of the damage assessment function, including the use of a tool developed specifically for these activities.
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Christoph Lamers. (2022). Electronic Visualization for Situational Awareness in Control Rooms. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 1008–1011). Tarbes, France.
Abstract: It is generally agreed in crisis management that a comprehensive visualization of the situation is crucial for an appropriate situational awareness of the staff personnel in control rooms. Therefore an expert group of fire officers in the German State North Rhine Westphalia developed a system for this purpose known as the “tactical wall”. The core of the system is a situation map of the relevant area with so-called tactical signs, i. e. defined graphic symbols for hazards, response units and tactical measures. Moreover, the assignment of response units to tactical sectors or staging areas as well as other relevant information such as the management organization is displayed at defined places within the wall. While the system was purely manual in its original version, a new digital version was recently developed. The user interfaces of this system are web-based and can by intuitively operated after a minor training effort.
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Ana María Cintora, Eva Teresa Robledo, Cristina Gomez, Raquel Lafuente, Ricardo García, & Cristina Horrillo. (2022). Analysis of the Chemical Incidents from Seveso Directive according to Direct Fatalities and Injuries. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 1058–1067). Tarbes, France.
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.
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Kerrianne Morrison, Yee-Yin Choong, Shanee Dawkins, & Sandra Spickard Prettyman. (2021). Communication Technology Problems and Needs of Rural First Responders. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 817–834). Blacksburg, VA (USA): Virginia Tech.
Abstract: Although new technology may benefit rural first responders to help them serve their communities, to date little is known about what communication technology problems rural first responders most need addressed and what future technology they desire. To explore the context of use and communication technology problems and needs of rural first responders, semi-structured interviews were conducted with 63 rural first responders across four disciplines: Communications (Comm) Center & 9-1-1 Services, Emergency Medical Services, Fire Service, and Law Enforcement. Using qualitative data analysis, interview data were sorted into problems and needs categories. Rural first responders' greatest problems were with reliable coverage/connectivity, interoperability, implementation/information technology (IT) infrastructure, and physical ergonomics. Rural first responders' greatest need for new technology was to address their current problems, but they were interested in new technology that leverages real-time technology and location tracking. Implications for researchers and developers of public safety communication technology are discussed.
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Dimitrios Sainidis, Dimitrios Tsiakmakis, Konstantinos Konstantoudakis, Georgios Albanis, Anastasios Dimou, & Petros Daras. (2021). Single-Handed Gesture UAV Control and Video Feed AR Visualization for First Responders. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 835–848). Blacksburg, VA (USA): Virginia Tech.
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.
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Masahiro Watanabe, Yu Ozawa, Kenichi Takahashi, Eri Takane, Tetsuya Kimura, Soichiro Suzuki, et al. (2021). Hardware Design and Tests of SMURF V1 Platform for Searching Survivors in Debris Cones. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 849–866). Blacksburg, VA (USA): Virginia Tech.
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.
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Tiina Ristmae, Dimitra Dionysiou, Miltiadis Koutsokeras, Athanasios Douklias, Eleftherios Ouzounoglou, Angelos Amditis, et al. (2021). The CURSOR Search and Rescue (SaR) Kit: an innovative solution for improving the efficiency of Urban SaR Operations. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 867–880). Blacksburg, VA (USA): Virginia Tech.
Abstract: CURSOR (Coordinated Use of miniaturized Robotic equipment and advanced Sensors for search and rescue OpeRations) is an ongoing European H2020 project with the main objective to enhance the efficiency and safety of Urban Search and Rescue (USaR) operations on disaster sites. CURSOR's approach relies on the integration of multiple mature and emerging technologies offering complementary capabilities to an USaR system, so as to address several challenges and capability gaps currently encountered during first responder missions. The project's research and development are structured around an earthquake master scenario. CURSOR aspires to advance the state-of the-art in several key aspects, including reduced time for victim detection, increased victim localization accuracy, enhanced real-time worksite information management, improved situational awareness and rescue team safety.
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