A Time Domain-Based Iterative Method for Helicopter Maritime Search Area Planning and Construction of the Simulation Environment

Xiong, Peisen; Liu, Hu; Tian, Yajie; Chen, Zikun

doi:10.1109/access.2020.3032583

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…Experiments confirm that the values of POC and POD are obviously improved and can support MSR tasks. Based on the above studies, Xiong et al [34] proposed a time domain-based iterative planning (TIP) method to plan the search areas. In the TIP, the probability map is updated based on the mean drift direction in each iteration.…”

Section: Literature Reviewmentioning

confidence: 99%

An Improved NSGA-II Based on Multi-Task Optimization for Multi-UAV Maritime Search and Rescue under Severe Weather

Huang

et al. 2023

JMSE

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The international trade heavily relies on maritime transportation. Due to the vastness of the ocean, once an accident happens, fast maritime search and rescue (MSR) is a must, as it is of life-and-death matter. Using unmanned air vehicles (UAVs) is an effective approach to completing complex MSR tasks, especially when the environment is dangerous and changeable. However, how to effectively plan paths for multi-UAVs under severe weather, e.g., to rescue the most urgent targets in the shortest time, is a challenging task. In this study, an improved NSGA-II based on multi-task optimization (INSGA-II-MTO) is proposed to plan paths for multi-UAVs in the MSR tasks. In the INSGA-II-MTO, a novel population initialization method is proposed to improve the diversity of an initial population. Further, two tasks are introduced during the execution of the search algorithm. Namely, one assistant task, which solves a simplified MSR problem through multi-task optimization, is implemented to provide necessary evolutional knowledge to a main task that solves an original MSR problem. The performance of the proposed INSGA-II-MTO is compared with other competitors in three MSR scenarios. Experimental results indicate that the proposed algorithm performs best among the compared ones. It is observed that the INSGA-II-MTO can find a set of shorter total paths and handle the most urgent task in the shortest possible time. Therefore, the proposed method is an effective and promising approach to solving multi-UAVs MSR problems to reduce human causalities and property losses.

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Section: Literature Reviewmentioning

confidence: 99%

An Improved NSGA-II Based on Multi-Task Optimization for Multi-UAV Maritime Search and Rescue under Severe Weather

Huang

et al. 2023

JMSE

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“…Ai et al [12] provide helicopter search route planning in many scenarios, considering the limits of vision observation range, survival time estimation, flight altitude limit, flight speed limit, sweep breadth, and other parameters. Xiong et al [13] proposed an approach based on time domain iteration to find the ideal search area of a helicopter maritime rescue mission, which lowers the impact of search object movement on search efficiency and increases the likelihood of successful search and rescue. Chen et al [14] introduced a particle swarm optimization technique for helicopter maritime search and rescue decision-making based on spatiotemporal weight, and optimized the rectangular search and rescue area division method of the helicopter.…”

Section: Introductionmentioning

confidence: 99%

Multi-target Emergency Rescue Path Planning in Marine Wind and Wave Environments

Zhi

Mei

et al. 2023

J. Phys.: Conf. Ser.

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With the development of marine-related industries, the number of tasks at sea has increased, and accidents there happen more frequently as well. Search and rescue are very challenging because of the extreme wind and wave environment at sea. Therefore, the state has been paying more attention to maritime emergency rescue. One part is emergency rescue path planning, which is crucial for helicopter emergency rescue at sea. In this paper, a series of multi-target rescue path solutions are created in order to solve the challenge of multi-target rescue path planning while taking into account sea wind and waves. The rescued targets’ floating trajectory model is first established. Then, a recursive algorithm based on a permutation tree is given in response to the unsteady change of the targets’ position at sea. The rescue path is planned with the goal of cutting down on the helicopter’s search time. Finally, using the multi-target rescue in China’s Taiwan Strait as an example, it is discovered that the overall time needed for the multi-target rescue is decreased by 7.03 minutes, and the efficiency of the rescue is improved by 13.3% in the wind and wave environment at sea. According to the research, the optimal rescue path shortens the time required for multi-target rescue at sea while increasing the effectiveness of helicopter rescue operations.

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A Time-Domain Planning Method for Surface Rescue Process of Amphibious Aircraft for Medium/Distant Maritime Rescue

Yin

Xue

et al. 2023

Applied Sciences

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Medium/distant maritime rescue is significantly important in the development of maritime business. For typical medium/distant maritime rescue, the range limitation of helicopters and many difficulties between helicopter and ship cooperation lead to unsatisfactory rescue results. Compared to helicopters and ships, amphibious aircrafts could effectively solve the problems faced by helicopters and ships and meet the medium/distant maritime rescue demands with their long cruise range, high speed, high rescue capability and surface landing capability. Therefore, a time-domain planning method (TPM) based on the k-means* clustering algorithm and the genetic algorithm* is proposed in this study for the surface rescue process (SRP) of amphibious aircrafts in medium/distant maritime rescue. To simulate the SRP of amphibious aircrafts, an agent-based simulation environment of medium/distant maritime rescue was constructed based on the Python platform. Finally, a case study was carried out to verify its effectiveness and applicability. The results show that the TPM exhibits satisfactory rescue results for the SRP of the amphibious aircraft and that less than 1 h of delay time is recommended for the amphibious aircraft to rescue the persons in distress by using TPM.

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A Time Domain-Based Iterative Method for Helicopter Maritime Search Area Planning and Construction of the Simulation Environment

Cited by 4 publications

References 29 publications

An Improved NSGA-II Based on Multi-Task Optimization for Multi-UAV Maritime Search and Rescue under Severe Weather

An Improved NSGA-II Based on Multi-Task Optimization for Multi-UAV Maritime Search and Rescue under Severe Weather

Multi-target Emergency Rescue Path Planning in Marine Wind and Wave Environments

A Time-Domain Planning Method for Surface Rescue Process of Amphibious Aircraft for Medium/Distant Maritime Rescue

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