Autonomous UAV Path-Planning Optimization Using Metaheuristic Approach for Predisaster Assessment

Qadir, Zakria; Zafar, Muhammad Usman; Moosavi, Syed Kumayl Raza; Lê, Khoa N.; Mahmud, M. A. Parvez

doi:10.1109/jiot.2021.3137331

Cited by 38 publications

(26 citation statements)

References 46 publications

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“…Each UAV performs consensus-based fusion for direct and indirect estimation of a target location and uses this information to control flight trajectory. Recently, Qadir et al [120] compared different metaheuristic algorithm for UAVs efficient path planning in complex environments. The autonomous trajectory optimization for UAV shows promising results in naturally occurring catastrophic events as shown in Figure 3.…”

Section: Collaborative Taskingmentioning

confidence: 99%

Communication and Control in Collaborative UAVs: Recent Advances and Future Trends

Javaid¹,

Saeed²,

Qadir³

et al. 2023

Preprint

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The recent progress in unmanned aerial vehicles (UAV) technology has significantly advanced UAV-based applications for military, civil, and commercial domains. Nevertheless, the challenges of establishing high-speed communication links, flexible control strategies, and developing efficient collaborative decision-making algorithms for a swarm of UAVs limit their autonomy, robustness, and reliability. Thus, a growing focus has been witnessed on collaborative communication to allow a swarm of UAVs to coordinate and communicate autonomously for the cooperative completion of tasks in a short time with improved efficiency and reliability. This work presents a comprehensive review of collaborative communication in a multi-UAV system. We thoroughly discuss the characteristics of intelligent UAVs and their communication and control requirements for autonomous collaboration and coordination. Moreover, we review various UAV collaboration tasks, summarize the applications of UAV swarm networks for dense urban environments and present the use case scenarios to highlight the current developments of UAV-based applications in various domains. Finally, we identify several exciting future research direction that needs attention for advancing the research in collaborative UAVs.

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Section: Collaborative Taskingmentioning

confidence: 99%

Communication and Control in Collaborative UAVs: Recent Advances and Future Trends

Javaid¹,

Saeed²,

Qadir³

et al. 2023

Preprint

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show abstract

“…Rossello et al studied the trajectory planning problem of unmanned aerial vehicles in two-dimensional space, and its main contribution lies in proposing a novel heuristic algorithm [13]. In [14], a two-dimensional trajectory planning scheme for unmanned aerial vehicles was proposed, which also adopted heuristic algorithms. Bioheuristic algorithms are also widely used in unmanned aerial vehicle trajectory planning due to their advantages such as simple structure, fewer parameters, and fast calculation speed.…”

Section: Uav Trajectory Planningmentioning

confidence: 99%

Research on logistics unmanned aerial vehicle (UAV) delivery system based on heuristic algorithm

ZHU

2023

Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023)

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“…Tahir et al [52] created a satellite image dataset by using a convolutional neural network-based framework to perform object detection. Qadir et al [53] analyzed various metaheuristic algorithms for pre-disaster assessment and realize the function of UAV path optimization. These papers also serve as a reminder that more scholars can use similar techniques to study the prediction mechanism of community predisaster resilience.…”

Section: Assessment and Measurement Of Waterlogging Resiliencementioning

confidence: 99%

Predicting and Improving the Waterlogging Resilience of Urban Communities in China—A Case Study of Nanjing

Cui

Liu

et al. 2022

Buildings

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In recent years, urban communities in China have been continuously affected by extreme weather and emergencies, among which the rainstorm and waterlogging disasters pose a great threat to infrastructure and personnel safety. Chinese governments issue a series of waterlogging prevention and control policies, but the waterlogging prevention and mitigation of urban communities still needs to be optimized. The concept of “resilience” has unique advantages in the field of community disaster management, and building resilient communities can effectively make up for the limitations of the traditional top-down disaster management. Therefore, this paper focuses on the pre-disaster prevention and control of waterlogging in urban communities of China, following the idea of “concept analysis–influencing factor identification–evaluation indicators selection–impact mechanism analysis–resilience simulation prediction–empirical research–disaster adaptation strategy formulation”. The structural equation model and BP neural network are used by investigating the existing anti-waterlogging capitals of the target community to predict the future waterlogging resilience. Based on this simulation prediction model, and combined with the incentive and restraint mechanisms, suggestions on corrective measures can be put forward before the occurrence of waterlogging.

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Autonomous UAV Path-Planning Optimization Using Metaheuristic Approach for Predisaster Assessment

Cited by 38 publications

References 46 publications

Communication and Control in Collaborative UAVs: Recent Advances and Future Trends

Communication and Control in Collaborative UAVs: Recent Advances and Future Trends

Research on logistics unmanned aerial vehicle (UAV) delivery system based on heuristic algorithm

Predicting and Improving the Waterlogging Resilience of Urban Communities in China—A Case Study of Nanjing

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