Search and Retrieval of Human Casualties in Outdoor Environments with Unmanned Ground Systems—System Overview and Lessons Learned from ELROB 2014

Brüggemann, Bernd; Wildermuth, Dennis; Schneider, Frank E.

doi:10.1007/978-3-319-27702-8_35

Cited by 8 publications

(5 citation statements)

References 5 publications

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“…Robot competitions, including the European Land Robot Trail (ELROB), euRathlon, RoboCup Rescue, etc., seem to be the benchmark for robot systems. [50][51][52][53] There are still problems with this kind of competition for USAR robots. The participating teams mainly focus on the following tasks: (1) exploring buildings and mapping 51 ; (2) interacting with facilities in the environment (such as valves) 52 ; (3) finding and transporting trapped people (dummies).…”

Section: Limitations Of Deploying Robots For Urban Search and Rescuementioning

confidence: 99%

“…The participating teams mainly focus on the following tasks: (1) exploring buildings and mapping 51 ; (2) interacting with facilities in the environment (such as valves) 52 ; (3) finding and transporting trapped people (dummies). 53 In other words, these competitions focus more on "Search" but not "Rescue." Most of the participants used the manipulator to grab the dummy and even dragged it with a hook, 53 which would not be acceptable in a real-life scenario.…”

Section: Limitations Of Deploying Robots For Urban Search and Rescuementioning

confidence: 99%

“…53 In other words, these competitions focus more on "Search" but not "Rescue." Most of the participants used the manipulator to grab the dummy and even dragged it with a hook, 53 which would not be acceptable in a real-life scenario.…”

Section: Limitations Of Deploying Robots For Urban Search and Rescuementioning

confidence: 99%

See 2 more Smart Citations

Rescue Robots for the Urban Earthquake Environment

Hou

et al. 2022

Disaster med. public health prep.

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Robotics have important applications in the field of disaster medical rescue. The deployment of urban rescue robots at the earthquake site can help shorten response time, improve rescue efficiency and keep rescue personnel away from danger. This discussion introduces the performance of some robots in actual rescue scenarios, focuses on the current research status of robots that can provide medical assistance, and analyzes the merits and shortcomings of each system. Based on existing studies, the limitations and development directions of urban rescue robots are also discussed.

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Section: Limitations Of Deploying Robots For Urban Search and Rescuementioning

confidence: 99%

Section: Limitations Of Deploying Robots For Urban Search and Rescuementioning

confidence: 99%

See 1 more Smart Citation

Rescue Robots for the Urban Earthquake Environment

Hou

et al. 2022

Disaster med. public health prep.

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“…The haptic gloves would provide the operator with the ability to, for instance, move the robot's arm and gripper simply by moving her own arm and hand. Such a system is, for example, presented in [25], showing that it easily outperforms classical manipulator steering devices.…”

Section: Immersive Telepresencementioning

confidence: 99%

Assessing the search and rescue domain as an applied and realistic benchmark for robotic systems

Schneider

Wildermuth

2016

2016 17th International Carpathian Control Conference (ICCC)

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Aim of this paper is to provide a review of the state of the art in Search and Rescue (SAR) robotics. Suitable robotic applications in the SAR domain are described, and SAR-specific demands and requirements on the various components of a robotic system are pictured. Current research and development in SAR robotics is outlined, and an overview of robotic systems and sub-systems currently in use in SAR and disaster response scenarios is given. Finally we show a number of possible research directions for SAR robots, which might change the overall design and operation of SAR robotics in the longer-term future. All this is meant to support our main idea of taking SAR applications as an applied benchmark for the Field Robotics (FR) domain

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“…Injured or trapped human searching in outdoor environments after natural disasters or outdoor accidents come to be important threats to public safety with the prevalence of outdoor sports and frequent occurrence of natural disasters in recent years, it also poses higher challenges to public security and health technology. Outdoor injured human searching in public security field mainly includes two categories ( 1 ): (1) One is about the trapped survivor detection under ruins in the abnormal post-disaster environment (earthquakes, building collapses, landslides, etc). To address this problem, our group firstly proposed the bio-radar detection technology ( 2 ) in the field of Disaster Rescue Medicine and developed a series of bio-radar equipment, which could acquire survivor's vital sign ( 3 – 6 ), locations ( 7 ) and even behaviors ( 8 , 9 ) through ruins or wall.…”

Section: Introductionmentioning

confidence: 99%

UAV multispectral multi-domain feature optimization for the air-to-ground recognition of outdoor injured human targets under cross-scene environment

Xia

Zhu³

et al. 2023

Front. Public Health

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ObjectiveUAV-based multispectral detection and identification technology for ground injured human targets, is a novel and promising unmanned technology for public health and safety IoT applications, such as outdoor lost injured searching and battlefield casualty searching, and our previous research has demonstrated its feasibility. However, in practical applications, the searched human target always exhibits low target-background contrast relative to the vast and diverse surrounding environment, and the ground environment also shifts randomly during the UAV cruise process. These two key factors make it difficult to achieve highly robust, stable, and accurate recognition performance under the cross-scene situation.MethodsThis paper proposes a cross-scene multi-domain feature joint optimization (CMFJO) for cross-scene outdoor static human target recognition.ResultsIn the experiments, we first investigated the impact severity of the cross-scene problem and the necessity to solve it by designing 3 typical single-scene experiments. Experimental results show that although a single-scene model holds good recognition capability for its scenes (96.35% in desert scenes, 99.81% in woodland scenes, and 97.39% in urban scenes), its recognition performance for other scenes deteriorates sharply (below 75% overall) after scene changes. On the other hand, the proposed CMFJO method was also validated using the same cross-scene feature dataset. The recognition results for both individual scene and composite scene show that this method could achieve an average classification accuracy of 92.55% under cross-scene situation.DiscussionThis study first tried to construct an excellent cross-scene recognition model for the human target recognition, named CMFJO method, which is based on multispectral multi-domain feature vectors with scenario-independent, stable and efficient target recognition capability. It will significantly improve the accuracy and usability of UAV-based multispectral technology method for outdoor injured human target search in practical applications and provide a powerful supporting technology for public safety and health.

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Search and Retrieval of Human Casualties in Outdoor Environments with Unmanned Ground Systems—System Overview and Lessons Learned from ELROB 2014

Cited by 8 publications

References 5 publications

Rescue Robots for the Urban Earthquake Environment

Rescue Robots for the Urban Earthquake Environment

Assessing the search and rescue domain as an applied and realistic benchmark for robotic systems

UAV multispectral multi-domain feature optimization for the air-to-ground recognition of outdoor injured human targets under cross-scene environment

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