Supporting Search and Rescue Operations with UAVs

Waharte, Sonia; Trigoni, Niki

doi:10.1109/est.2010.31

Cited by 429 publications

(263 citation statements)

References 7 publications

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“…The dynamic system in the space of simulation was determined by the interactions between the various units. It has a better capacity for simulating the natural phenomena and different physical systems, and commonly used in biological, environmental and social areas [17]. The concept of cellular automata has been a good option among simulation methods for crowd dynamics simulation.…”

Section: Cellular Automata Modelsmentioning

confidence: 99%

“…Early simulation studies of crowd movement behaviors were based on fluid dynamics and the full Navier-Stokes equations are used to simulate large density crowd flow [17]. Later, the full Navier-Stokes equations were combined with additional properties derived from crowd behavior studies [15] to achieve more realistic modeling.…”

Section: Fluid Dynamics Modelmentioning

confidence: 99%

“…In the CA method, the cellular space and the functions are responsible for the transactions in this space. A cellular automata system can be illustrated by the following formula [17]:…”

Section: Cellular Automata Modelsmentioning

confidence: 99%

“…Based on defined cellular states and cellular space, a set of rules was studied in [17] to simulate the sheep mentality in the evacuation process. In [15], cellular automata is used to simulate evacuations with obstacle obstruction at the exit.…”

Section: Cellular Automata Modelsmentioning

confidence: 99%

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Robot-Assisted Crowd Evacuation under Emergency Situations: A Survey

Sakour

2017

Robotics

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In the case of emergency situations, robotic systems can play a key role and save human lives in recovery and evacuation operations. To realize such a potential, we have to address many scientific and technical challenges encountered during robotic search and rescue missions. This paper reviews current state-of-the-art robotic technologies that have been deployed in the simulation of crowd evacuation, including both macroscopic and microscopic models used in simulating a crowd. Existing work on crowd simulation is analyzed and the robots used in crowd evacuation are introduced. Finally, the paper demonstrates how autonomous robots could be effectively deployed in disaster evacuation, as well as search and rescue missions.

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Section: Cellular Automata Modelsmentioning

confidence: 99%

Section: Fluid Dynamics Modelmentioning

confidence: 99%

“…In the CA method, the cellular space and the functions are responsible for the transactions in this space. A cellular automata system can be illustrated by the following formula [17]:…”

Section: Cellular Automata Modelsmentioning

confidence: 99%

Section: Cellular Automata Modelsmentioning

confidence: 99%

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Robot-Assisted Crowd Evacuation under Emergency Situations: A Survey

Sakour

2017

Robotics

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“…Unmanned aerial vehicles (UAVs) are being widely used in wilderness search areas [1], [2]. For each UAV, its task is to gather enough information to determine whether the target is in the search area, and to report the correct location of the target.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Framework for Probabilistic Search with Multi-UAVs

Qin¹,

Li²

2017

The 5th International Conference on Advanced Computer Science Applications and Technologies (ACSAT 2017)

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Abstract. This paper focuses on the task of searching a stationary target using a team of multiple unmanned aerial vehicles (UAV) with limited communication ranges and sensing capabilities. It is based on a probabilistic representation model of the search environment, in which each UAV keeps a probability map on the presence of the target for each cell. The UAVs make observations and update the map for multiple rounds according to the Bayesian rule. In this process, each UAV can exchange data with its neighbors who are in its communication range. The decision of finding the target can be made once its probability of presence in any cell reaches a threshold. In this work, we design an efficient framework to decide the movement of each UAV at each time step, and propose a novel data fusion strategy among UAVs. The simulation result shows that our framework achieves improvements on both the success rate and the time taken to complete the searching task. We also explore the impact of different parameters, like the sensor model, moving mobility model of each UAV, and the data fusion strategies associated with the moving patterns. The simulation results show that the correct rate on target identification can vary greatly under different parameter settings, indicating the importance of the selection of UAV searching components such as the sensor model and the mobility model.

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Optimal path planning using psychological profiling in drone‐assisted missing person search

Ewers,

Anderson,

Thomson

2023

Adv Control Appl

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Search and rescue operations are all time‐sensitive and this is especially true when searching for a vulnerable missing person, such as a child or elderly person suffering dementia. Recently, Police Scotland Air Support Unit has begun the deployment of drones to assist in missing person searches with success, although the efficacy of the search relies upon the expertise of the drone operator. In this paper, several algorithms for planning the search path are compared to determine which approach has the highest probability of finding the missing person in the shortest time. In addition to this, the use of á priori psychological profile information of the subject to create a probability map of likely locations within the search area was explored. This map is then used within a nonlinear optimization to determine the optimal flight path for a given search area and subject profile. Two optimization solvers were compared; genetic algorithms, and particle swarm optimization. Finally, the most effective algorithm was used to create a coverage path for a real‐life location, for which Police Scotland Air Support Unit completed multiple test flights. The generated flight paths based on the predicted intent of the lost person were found to perform statistically better than those of the expert police operators.

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Supporting Search and Rescue Operations with UAVs

Cited by 429 publications

References 7 publications

Robot-Assisted Crowd Evacuation under Emergency Situations: A Survey

Robot-Assisted Crowd Evacuation under Emergency Situations: A Survey

An Efficient Framework for Probabilistic Search with Multi-UAVs

Optimal path planning using psychological profiling in drone‐assisted missing person search

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