Academic literature on the topic 'K9 search and rescue'

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Journal articles on the topic "K9 search and rescue"

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Morne, Mommsen. "An exploration of K9-assisted approaches as a component of Disaster Response." International Journal of Social Science and Humanities Research 13, no. 2 (2025): 25–39. https://doi.org/10.5281/zenodo.15154447.

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<strong>Abstract:</strong> Disaster response teams increasingly rely on trained dogs in Urban Search and Rescue (USAR) operations, particularly in South Africa, where disasters are frequent and diverse. This study examines the roles, training, deployment, and effectiveness of disaster dogs within South African search and rescue operations, aiming to address existing knowledge gaps and identify areas for further research. Key findings emphasize the critical role of canine units in enhancing South Africa&rsquo;s disaster response capabilities. They demonstrate the potential for international deployment through standardized training and classification but highlight the current lack of legislative mandates and national protocols for integrating canine units into disaster response frameworks. The study recommends that the National Disaster Management Centre (NDMC) and the South African Police Service (SAPS) lead efforts to establish and manage dedicated canine units at both provincial and national levels. Despite the proven effectiveness of K9 Search and Rescue teams, challenges such as inadequate funding and training persist. Comparisons with international best practices reveal opportunities for improvement in South Africa&rsquo;s programs. The study concludes that K9 Search and Rescue is a vital asset to disaster response in South Africa, capable of improving search outcomes and response times. Recommendations include the development of enhanced training programs, increased funding, and further research into their long-term impact. Future studies should focus on creating standardized training protocols and bolstering governmental support to optimize the role of K9 units in disaster management. <strong>Keywords:</strong> K9 search and rescue, South Africa, disaster response, canine training. <strong>Title:</strong> An exploration of K9-assisted approaches as a component of Disaster Response <strong>Author:</strong> Morne Mommsen <strong>International Journal of Social Science and Humanities Research&nbsp; </strong> <strong>ISSN 2348-3156 (Print), ISSN 2348-3164 (online)</strong> <strong>Vol. 13, Issue 2, April 2025 - June 2025</strong> <strong>Page No: 25-39</strong> <strong>Research Publish Journals</strong> <strong>Website: www.researchpublish.com</strong> <strong>Published Date: 05-</strong><strong>April-2025</strong> <strong>DOI: https://doi.org/10.5281/zenodo.15154447</strong> <strong>Paper Download link (Source)</strong> <strong>https://www.researchpublish.com/papers/an-exploration-of-k9-assisted-approaches-as-a-component-of-disaster-response</strong>
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Vosinakis, Georgios, Maria Krommyda, Angelos Stamou, et al. "A Smart Integrated Vest for the Canine Companion of the K9 Units." Informatics 9, no. 1 (2021): 2. http://dx.doi.org/10.3390/informatics9010002.

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Search and rescue operations can range from small, confined spaces, such as collapsed buildings, to large area searches during missing person operations. K9 units are tasked with intervening in such emergencies and assist in the optimal way to ensure a successful outcome for the mission. They are required to operate in unknown situations were the lives of the K9 handler and the canine companion are threatened as they operate with limited situational awareness. Within the context of the INGENIOUS project, we developed a K9 vest for the canine companion of the unit, aiming to increase the unit’s safety while operating in the field, assist the K9 handler in better monitoring the location and the environment of the K9 and increase the information provided to the Command and Control Center during the operation.
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Polián, Pavel, Petr Polián, and Igor Kopotun. "The role of digital technologies for the canine units involved in the law enforcement in European countries." Cuestiones Políticas 40, no. 75 (2022): 457–82. http://dx.doi.org/10.46398/cuestpol.4075.28.

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The aim of the article was to consider the role of digital technologies in law enforcement by canine units in European countries. Comparison and observation methods were the main methodological tools. The research showed that European K9 units assist in rescue operations, detection of prohibited substances, firearms and ammunition. Their activity is necessary during the tracking and arrest of criminal suspects. European canine units are responsible for protecting service dogs from undue risk. It was found that tactile interfaces, UAV-based surveillance sensors, video surveillance systems and GPS are becoming components of European requirements for canine service activities. Projects implemented as part of the European research and innovation program Horizon 2020 aim to develop technologies for rapid response services. It is concluded that, the INGenIOuS Project resulted in the development of an effective K9 vest for a search dog, which is based on a complex of modern digital technologies. In addition, the installation of devices in patrol cars can help to save a working dog.
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Singh, Gurjeet, Mohamed Alwi Bin Hj Abdul Rahman, and Muhamad Syis bin Zulkipli. "An Emergency and Mass Casualty Incident Response in the Jalan Batang Kali-Jalan Genting Highlands Malaysia Landslide 2022: A Case Report and Strategies to Improve." International Journal of Management and Human Sciences 07, no. 01 (2023): 33–40. http://dx.doi.org/10.31674/ijmhs.2023.v07i01.005.

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At about 3 am on Friday 16 December, a landslide occurred along the Jalan Batang kali Genting highlands road. The medical team of Hospital Selayang had been activated and responded to the site. A campsite with visitors from a local school including families and children who were hit by a landslide was reported missing and trapped in the area. Of the 92 victims, and survivors were 61, the number of deaths was 31. The search and rescue team used equipment such as excavators as well as the help of the K9 unit to help locate the victims in the landslide. The media was present at the cold zone or green zone and had 24-hour coverage of the scene to spread the necessary and accurate information to the public. Regular briefings were done by the SAR teams together with the incident commander to the media to keep the public updated on the real information about the scene.
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Collawn, James F., Zsuzsa Bebok, and Sadis Matalon. "Search and Rescue." American Journal of Respiratory Cell and Molecular Biology 40, no. 4 (2009): 385–87. http://dx.doi.org/10.1165/rcmb.2008-0006ed.

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Lewis, Sian. "Search and rescue." Nature Reviews Neuroscience 14, no. 12 (2013): 821. http://dx.doi.org/10.1038/nrn3645.

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Kirk, H. David. "Search and Rescue." Marriage & Family Review 25, no. 3-4 (1997): 225–49. http://dx.doi.org/10.1300/j002v25n03_06.

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Pierce, William. "Search and Rescue." Prehospital and Disaster Medicine 2, no. 1-4 (1986): 21–24. http://dx.doi.org/10.1017/s1049023x00030272.

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I want to first talk about search and rescue as it occurred in Mexico City; secondly, about what we learned in Mexico City; where are we going from there; what are some of the things that are happening and should be happening in major disaster management, especially as it deals with search and rescue.There are four main phases in search and rescue. Those four phases are: First, you have to locate the victims; second, you have to reach the victims; third, you need to stabilize those victims; and fourth, you need to evacuate them. I'm going to deal primarily with locating the victims because that was my main responsibility, coordinating the search aspect in Mexico City.
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Steven, James M. "Search and Rescue." Anesthesia & Analgesia 118, no. 1 (2014): 10–11. http://dx.doi.org/10.1213/ane.0000000000000018.

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Miller, Char. "Search and Rescue." Journal of Forestry 106, no. 7 (2008): 397. http://dx.doi.org/10.1093/jof/106.7.397.

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Dissertations / Theses on the topic "K9 search and rescue"

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Litter, Jansen J. "Mobile robot for search and rescue." Ohio : Ohio University, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1176921842.

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Steen, Thor Audun. "Search and Rescue Mission Using Multicopters." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-25925.

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Search and rescue operations can greatly benefit from the use of autonomous unmanned aerial systems to survey the environment and collect evidence about the positions of missing persons. This thesis considers the design of an autonomous multicopter system for use in a search and rescue mission. The ArduPilot Mega is used as the autopilot and is presented together with detailed information about the utilized hardware and software. The design of a low- level control interface is implemented as an extension to APM:Copter using the MAVLink protocol allowing attitude or velocity control of the multicopter.Furthermore, promising methods for autonomous behavior are discussed and developed with the use of the low-level control interface. The integration of a camera is characterized as a vital part of the fully autonomous search and rescue muliticopter system and presented together with a method used to describe and estimate motion of a target object. The estimator used for the state estimation is the extended Kalman filter.Finally, experiments of the system are conducted at a test field to demonstrate how it can be utilized and to prove the viability of the complete system. The experiments verify that the autonomous search and rescue multicoper can contribute in a search operation using an observer to spot for objects.
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Soylemez, Emrah. "Gis-based Search Theory Application For Search And Rescue Planning." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608362/index.pdf.

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Search and Rescue (SAR) operations aim at finding missing objects with minimum time in a determined area. There are fundamentally two problems in these operations. The first problem is assessing highly reliable probability distribution maps, and the second is determining the search pattern that sweeps the area from the air as fast as possible. In this study, geographic information systems (GIS) and multi criteria decision analysis (MCDA) are integrated and a new model is developed based upon Search Theory in order to find the position of the missing object as quickly as possible with optimum resource allocation. Developed model is coded as a search planning tool for the use of search and rescue planners. Inputs of the model are last known position of the missing object and related clues about its probable position. In the developed model, firstly related layers are arranged according to their priorities based on subjective expert opinion. Then a multi criteria decision method is selected and each data layer is multiplied by a weight corresponding to search expert&rsquo<br>s rank. Then a probability map is established according to the result of MCDA methods. In the second phase, the most suitable search patterns used in literature are applied based on established probability map. The developed model is a new approach to shortening the time in SAR operations and finding the suitable search pattern for the data of different crashes.
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Cavallin, Kristoffer, and Peter Svensson. "Semi-Autonomous,Teleoperated Search and Rescue Robot." Thesis, Umeå University, Department of Computing Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-31928.

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<p>The interest in robots in the urban search and rescue (USAR) field has increased the last two decades. The idea is to let robots move into places where human rescue workers cannot or, due to high personal risks, should not enter.In this thesis project, an application is constructed with the purpose of teleoperating a simple robot. This application contains a user interface that utilizes both autonomous and semi-autonomous functions, such as search, explore and point-and-go behaviours. The purpose of the application is to work with USAR principles in a refined and simplified environment, and thereby increase the understanding for these principles and how they interact with each other. Furthermore, the thesis project reviews the recent and the current status of robots in USAR applications and use of teleoperation and semi-autonomous robots in general. Some conclusions that are drawn towards the end of the thesis are that the use of robots, especially in USAR situations, will continue to increase. As robots and support technology both become more advanced and cheaper by the day, teleoperation and semi-autonomous robots will also be seen in more and more places.</p><p> </p>
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Mosesson, Yael, and Petra Nyqvist. "Tracking with search and rescue dog equipage." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119940.

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Sjöfartsverket ansvarar för insatser när människor är i, eller befaras vara i sjönöd. För att utveckla metoderna för efterforskning av försvunna människor i sjönöd har Sjöfartsverket tillsammans med Sjöräddningssällskapet, Svenska Brukshundklubben och Myndigheten för samhällsskydd och beredskap (MSB) startat ett projekt tillsammans med räddningshundar som specialutbildats för att agera i sjömiljö, så kallade sjöräddningshundekipage. Syftet har varit att genom intervjuer och observationer ta reda på vilka sökmetoder som används för eftersök av försvunna människor på land med räddningshundar för att sedan överföra sökmetoderna så att de kan användas till sjöss för eftersök med hjälp av sjöräddningshundar. Resultatet visar att det finns ett antal olika sökmetoder för efterforskning av försvunna personer på land och den metod som används vid ett eftersök bestäms utifrån ett antal faktorer såsom väder, vind, terräng och tidsfaktorn. De sökmetoder som används vid eftersök på land är bland annat närsök, frisök, slalomsök, z-sök, parallellsök och rutsök. Författarna har, för att besvara studiens syfte följt tre steg för att överföra sökmetoder från land till sjöss. Av det som framkommit i resultatet har en jämförelse gjorts mellan förutsättningarna för sök på land och till sjöss samt att en jämförelse gjorts mellan sökmetoderna, för att visa på skillnader mellan sökmetoderna på land och till sjöss. De metoder som föreslås att utvecklas är Z-sök, slalomsök och parallellsök.
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Mardell, James. "Assisting search and rescue through visual attention." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/24156.

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With the ubiquity of visual data being recorded, we now have the ability to view vast amounts of visual imagery. However, searching through imagery for an indeterminate target in tasks such as security baggage inspection, medical scan screening and Wilderness Search and Rescue (WiSAR), remains problematic for most people and cannot be automated. If the imagery was presented to account for the way in which humans cognitively process such visuals, then the success of these tasks might be improved. This thesis proposes and evaluates a series of presentation methods to manipulate imagery to seek this improvement. A series of user experience studies were conducted. Given the task of searching for inconspicuous 'lost' human beings in a WiSAR scenario, subjects observed multiple sequences of aerial photography embodied in six specially designed presentations. These presentations were designed following an analysis of existing visual attention literature. The first study to evaluate these methods compared the standard live (i.e. scrolling) view of the terrain to a static representation. This static portrayal of aerial search yielded an improved success rate for target location. The second method adapted the static representation, by segmenting the image into smaller tiles that were displayed for correspondingly shorter durations, while the third method enlarged the segmented tiles to fill the display. With increased segmentation, the ability for subjects to locate targets was broadly unaffected. The fourth study investigated two methods that use eye-tracking equipment to dynamically enhance the display. Contained within this thesis are the findings from these four studies, which include the analysis of each subject's performance, opinions and eye-movement behaviour. The inspiration for each presentation method was the development of a proposed model for visual search. Ultimately, the static method is revealed as the most effective for the chosen scenario of WiSAR.
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Beck, Zoltan. "Collaborative search and rescue by autonomous robots." Thesis, University of Southampton, 2016. https://eprints.soton.ac.uk/411031/.

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In recent years, professional first responders have started to use novel technologies at the scene of disasters in order to save more lives. Increasingly, they use robots to search disaster sites. One of the most widely and successfully used robot platforms in the disaster response domain are unmanned aerial vehicles (UAVs). UAVs allow remote inspection and mapping. They are able to provide high resolution imagery and often need minimal infrastructure to fly. This allows settings where multiple UAVs are airborne accelerating the information gathering from the disaster site. However, current deployments use labour intensive, individually teleoperated UAVs. Given this, there is a drive toward using multiple robots operating with a certain level of autonomy, in order to decrease the operators' workload. One approach for utilising multiple robots in this way is semi-autonomous operation supervised by a small number of professionals; only requiring human experts for crucial decisions. Current commercial UAV platforms also allow the deployment of a diverse group of robots, allowing them to combine their individual capabilities to be more ecient. For example, xed-wing UAVs are capable of flying faster and carry larger payload, but when they do so, they should be deployed with higher safety measures (safety pilots are required for non-lightweight aircraft). On the other hand, small rotary-wing UAVs are more agile and can approach and provide imagery about objects on the ground. To this end, this thesis develops a number of new approaches for the collaboration of a heterogeneous group of robots in disaster response. More specifically, the problem of collaborative planning with robots operating in an uncertain workflow based setting is investigated by solving the search and rescue (SAR) collaboration problem. Of course, the problem complexity increases when collaborating with dierent robots. It is not different in this setting, the actions of dierent types of robots need to be planned with dependencies between their actions under uncertainty. To date, research on collaboration between multiple robots has typically focused on known settings, where the possible robot actions are dened as a set of tasks. However, in most real world settings, there is a signicant amount of uncertainty present. For ii example, information about a disaster site develops gradually during disaster relief, thus initially there is often very little certainty about the locations of people requiring assistance (e.g. damaged buildings, trapped victims, or supply shortages). Existing solutions that tackle collaboration in the face of uncertain information are typically limited to simple exploration or target search problems. Moreover, the use of generic temporal planners rapidly becomes intractable for such problems unless applied in a domain-specific manner. Finally, domain specific approaches rarely involve complex action relations, such as task dependencies where the actions of some robots are built on the actions of others. When they do so, decomposition techniques are applied to decrease the problem complexity, or simple heuristics are applied to enhance similar collaboration. Such approaches often lead to low quality solutions, because vital action dependencies across different roles are not taken into account during the optimisation. Against this background, we oer novel online planning approaches for heterogeneous multi-robot collaboration under uncertainty. First, we provide a negotiation-based bidirectional collaborative planning approach that exploits the potential in determinisation via hindsight optimisation (HOP) combined with long-term planning. Second, we extend this approach to create an anytime Monte Carlo tree search planner that also utilises HOP combined with long-term planning. In online planning settings, such as SAR, anytime planners are benecial to ensure the ability of providing a feasible plan within the given computational budget. Third, we construct a scenario close to physical deployment that allows us to show how our long-term collaborative planning outperforms the current state of the art path-planning approaches by 25 %. We conclude that long-term collaborative planning under uncertainty provides an improvement when planning in SAR settings. When combined, the contributions presented in this thesis represent an advancement in the state of the art in the eld of online planning under uncertainty. The approaches and methods presented can be applied in collaborative settings when uncertainty plays an important role for defining dependencies between partial planning problems.
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Hammerseth, Vegard B. "Autonomous Unmanned Aerial Vehicle In Search And Rescue." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-22880.

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This report presents a way of using autonomous drones to enhance search and rescue operations and takes the first steps in bringing the system to life. By using autonomous drones, less experience is required by the rescue personnel and drone specialists become excessive in this matter. Due to autonomy a drone can operate outside a valid radio link. Hence, when signal is lost, the craft can continue to search, buffer the information and send it when the link becomes active. By creating affordable drones the threshold decreases for deploying a unit in bad weather or other missions where the feedback is more important than drone return.Because the drones must sweep a large area, an aeroplane is the best suitable airframe. To generate less drag and increase stability; long, slender and thin-as-possible wings are recommended. To achieve aerodynamic stability, non-swept wings and a small positive dihedral angle is also advised. The wings should be attached on top of a slender and small-as-possible fuselage. However, due to the difficulties in landing and vulnerabilities related to this, a flying wing which obey the same design requirements, may be a better choice. A prototype for a flying wing made in expanded polypropylene was put together and tested. It proved to be resilient, able to withstand significant abuse, quickly recover to its former structure and be repaired in minutes. Highly convenient for various landing areas.An attitude and heading reference system (AHRS) is required to tell which orientation a vehicle may have. An affordable version has been realised by using micro electro mechanical sensors and a micro controller. Since the vehicle must orient itself within a search area, a NAVSTAR Global Positioning System (GPS) and way-point approach were drones are pre-programmed to follow a path has been developed together with a complete flight system.The drones search path must be programmed automatically from the given search area by the rescue personnel. This requires software and active communication link between a ground station and drones. An intuitive graphical user interface has been developed and verified to work by marking an area in the program and send coordinates over a commercial communication link to a prototype drone.A thermal imaging camera can be used to detect humans. It will make mammals stand out in an environment when viewed in the produced image (thermogram). Together with an arbitrarily threshold limit, the operators can be notified with coordinates when the threshold is reached. An experiment was carried out by placing a human at known coordinates. A drone with self position equipment was sent over the human repeatedly, automatically locating the person and reporting its location. It was concluded that the drone would be within 20 meters radius of the person.The generality and affordability of the airframe, AHRS and vision system can be useful for the university in the years ahead and the threshold for realising applications which uses any of these systems has therefore been reduced. A drone based system like this can enhance search and rescue and assist the majority by saving time, money and lives.
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Ryu, Kun Jin. "Autonomous Robotic Strategies for Urban Search and Rescue." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/19194.

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This dissertation proposes autonomous robotic strategies for urban search and rescue (USAR) which are map-based semi-autonomous robot navigation and fully-autonomous robotic search, tracking, localization and mapping (STLAM) using a team of robots. Since the prerequisite for these solutions is accurate robot localization in the environment, this dissertation first presents a novel grid-based scan-to-map matching technique for accurate simultaneous localization and mapping (SLAM). At every acquisition of a new scan and estimation of the robot pose, the proposed technique corrects the estimation error by matching the new scan to the globally defined grid map. To improve the accuracy of the correction, each grid cell of the map is represented by multiple normal distributions (NDs). The new scan to be matched to the map is also represented by NDs, which achieves the scan-to-map matching by the ND-to-ND matching. In the map-based semi-autonomous robot navigation strategy, a robot placed in an environment creates the map of the environment and sends it to the human operator at a distant location. The human operator then makes decisions based on the map and controls the robot via tele-operation. In case of communication loss, the robot semi-autonomously returns to the home position by inversely tracking its trajectory with additional optimal path planning. In the fully-autonomous robotic solution to USAR, multiple robots communicate one another while operating together as a team. The base station collects information from each robot and assigns tasks to the robots. Unlike the semi-autonomous strategy there is no control from the human operator. To further enhance the<br />efficiency of their cooperation each member of the team specifically works on its own task.<br />A series of numerical and experimental studies were conducted to demonstrate the applicability of the proposed solutions to USAR scenarios. The effectiveness of the scan-to-map matching with the multi-ND representation was confirmed by analyzing the error accumulation and by comparing with the single-ND representation. The applicability of the scan-to-map matching to the real SLAM problem was also verified in three different real environments. The results of the map-based semi-autonomous robot navigation showed the effectiveness of the approach as an immediately usable solution to USAR. The effectiveness of the proposed fully- autonomous solution was first confirmed by two real robots in a real environment. The cooperative performance of the strategy was further investigated using the developed platform- and hardware-in-the-loop simulator. The results showed significant potential as the future solution to USAR.<br>Ph. D.
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Forsslund, Patrik, and Simon Monié. "MULTI-DRONE COLLABORATION FOR SEARCH AND RESCUE MISSIONS." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54439.

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Unmanned Aerial Vehicle (UAV), also called drones, are used for Search And Rescue (SAR) missions, mainly in the form of a pilot manoeuvring a single drone. However, the increase in labour to cover larger areas quickly would result in a very high cost and time spent per rescue operation. Therefore, there is a need for an easy to use, low-cost, and highly autonomous swarm of drones for SAR missions where the detection and rescue times are kept to a minimum. In this thesis, a Subsumption-based architecture is proposed, which combines multiple behaviours to create more complex behaviours. An investigation of (1) what are the critical aspects of controlling a swarm of drones, (2) how can a combination of different behavioural algorithms increase the performance of a swarm of drones, and (3) what benchmarks are necessary when evaluating the fitness of the behavioural algorithms. The proposed architecture was simulated in AirSim using the SimpleFlight flight controller through experiments that evaluated the individual layers and missions that simulated real-life scenarios. The results validate the modularity and reliability of the architecture, where the architecture has the potential for improvements in future iterations. For the search area of 400×400meters, the swarm consistently produced an average area coverage of at least 99.917% and found all the missing people in all missions, with the slowest average being 563 seconds. Compared to related work, the result produced similar or better times when scaled to the same proportions and higher area coverage. As comparisons of results in SAR missions can be difficult, the introduction of Active time can serve as a benchmark for others in future swarm performance measurements.
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Books on the topic "K9 search and rescue"

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McLennan, Rob. Search & rescue. Mercutio Press], 2003.

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Cox, Greg. Search and rescue. BP Books, 1999.

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Emert, Phyllis Raybin. Search & rescue dogs. Crestwood House, 1985.

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Glen, Samantha. Search and rescue. Fawcett Crest, 1997.

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Thomas, Isabel. Search and rescue. Raintree, 2007.

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W, Awdry, ed. Search and rescue! Random House, 2012.

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Dmytryk, Rebecca. Wildlife Search and Rescue. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119959649.

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K9 Search and Rescue. Detselig Enterprises Ltd., 1999.

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Bulanda, Susan. K9 search and rescue troubleshooting: Practical solutions to common search dog training problems. 2017.

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Gerritsen, Resi, and Ruud Haak. K9 Search and Rescue: A Manual for Training the Natural Way. Brush Education, 2017.

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Book chapters on the topic "K9 search and rescue"

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Segrave, Marie, Sanja Milivojevic, and Sharon Pickering. "Search and ‘rescue’." In Sex Trafficking and Modern Slavery. Routledge, 2017. http://dx.doi.org/10.4324/9781315542560-2.

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Murphy, Robin R., Satoshi Tadokoro, Daniele Nardi, et al. "Search and Rescue Robotics." In Springer Handbook of Robotics. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-30301-5_51.

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Abeyratne, Ruwantissa. "Search and Rescue Operations." In Air Navigation Law. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25835-0_4.

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Fontaine, Emmanuelle, and Bertrand Prunet. "Search and Rescue (SAR)." In Disaster Medicine Pocket Guide: 50 Essential Questions. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-00654-8_38.

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House, David. "Search and Rescue Operations." In Seamanship Techniques. Routledge, 2018. http://dx.doi.org/10.4324/9781315560250-16.

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Longerstaey, Oriane. "Search and Rescue (SAR)." In The Routledge Handbook of Disaster Response and Recovery. Routledge, 2025. https://doi.org/10.4324/9781003414834-5.

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Dinstein, Yoram, and Arne Willy Dahl. "Section XIII: Search and Rescue." In Oslo Manual on Select Topics of the Law of Armed Conflict. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39169-0_13.

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Guo, Tongying, Hui Zhang, and Lincang Zhu. "Ruin Search and Rescue Robot." In Special Robot Technology. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0589-8_6.

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Cawthorne, Dylan. "The Search and Rescue Drone." In The Ethics of Drone Design. Routledge, 2023. http://dx.doi.org/10.4324/9781003372721-3.

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Tsubouchi, Takashi, Koichi Osuka, Fumitoshi Matsuno, et al. "Demonstration Experiments on Rescue Search Robots and On-Scenario Training in Practical Field with First Responders." In Rescue Robotics. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-474-4_9.

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Conference papers on the topic "K9 search and rescue"

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Shang, Shuo, Zhongxun Wang, Haoyv Wang, and Yongchang Li. "Construction of maritime aviation search and rescue platform." In 2024 9th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS). IEEE, 2024. https://doi.org/10.1109/iciibms62405.2024.10792822.

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Tian, Hua, Xueyu An, Binghang Wu, and Haowei Bian. "Underwater Robot Terrain Modeling Search and Rescue Algorithm." In 2024 9th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS). IEEE, 2024. http://dx.doi.org/10.1109/acirs62330.2024.10684911.

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Sime, Ryan, and Rohan Loveland. "Anomaly Detection Methods for Maritime Search and Rescue." In 14th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013263000003905.

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McKay, Keneth N., and Jan Laube. "Search and rescue." In the 20th conference. ACM Press, 1988. http://dx.doi.org/10.1145/318123.318221.

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Zeagler, Clint, Ceara Byrne, Giancarlo Valentin, et al. "Search and rescue." In ACI '16: Third International Conference on Animal-Computer Interaction. ACM, 2016. http://dx.doi.org/10.1145/2995257.2995390.

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Wallace, Ronald G., David W. Affens, and Samuel W. McCandless, Jr. "Search and rescue from space." In Aerospace/Defense Sensing and Controls, edited by Firooz A. Sadjadi. SPIE, 1998. http://dx.doi.org/10.1117/12.323835.

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Herbert, Sam, Nathaniel Bird, Andrew Drenner, and Nikolaos Papanikolopoulos. "A search and rescue robot." In 2009 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2009. http://dx.doi.org/10.1109/robot.2009.5152223.

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Hada, Yasushi, Kuniaki Kawabata, Harutoshi Koguchi, Hayato Kaetsu, and Hajime Asama. "Rescue Communicators for Global Victim Search and Local Rescue Planning." In 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2006. http://dx.doi.org/10.1109/iros.2006.281635.

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Maruyama, Haruo, and Kazuyuki Ito. "Semi-autonomous snake-like robot for search and rescue." In Rescue Robotics (SSRR). IEEE, 2010. http://dx.doi.org/10.1109/ssrr.2010.5981559.

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Craighead, Jeff. "Using fractal dimension to assess robot operator search skill." In Rescue Robotics (SSRR). IEEE, 2009. http://dx.doi.org/10.1109/ssrr.2009.5424146.

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Reports on the topic "K9 search and rescue"

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Bone, John R. Combat Search and Rescue - Military Stepchild. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada202204.

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Dowling, Michael G. Amphibious Search and Rescue: Shaping the Future. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada403969.

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Whitcomb, Darrel D. Combat Search and Rescue in Desert Storm. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada459903.

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Mullarky, J. W. Combat Search and Rescue -- the Cinc's Dilemma. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada222776.

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Lukowski, T. I., and F. Charbonneau. Synthetic Aperture Radar and Search and Rescue. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/219668.

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Looney, David A. Current Air Force Combat Search and Rescue Challenges. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada540056.

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Hudock, Bryan M. Development of an Urban Search and Rescue Robot. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada416121.

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Lukowski, T. I., and F. Charbonneau. Synthetic Aperture Radar (SAR) and Search and Rescue. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/219707.

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Scholtz, Jean, Jeff Young, Holly A. Yanco, and Jill L. Drury. Evaluation of Human-Robot Interaction Awareness in Search and Rescue. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada456128.

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Hansen, Darren T. Combat Search and Rescue: Should it be a Joint Requirement? Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada389899.

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