RescueNet: YOLO-based object detection model for detection and counting of flood survivors

Prabhu, B. V. Balaji; Lakshmi, R.; Ankitha, R.; Prateeksha, M. S.; Priya, N. C.

doi:10.1007/s40808-022-01414-6

Cited by 15 publications

(2 citation statements)

References 19 publications

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“…For example, in [16], the authors proposed the use of UAVs to facilitate localization of multiple targets in the sea zone for SAR operations. The article [17] further suggested a deep learning-aided model to detect people affected by floods.…”

Section: Related Workmentioning

confidence: 99%

Low Complexity Algorithms for Mission Completion Time Minimization in UAV-Based Emergency Response

Ashraf,

Gaydamaka,

Tan

et al. 2024

IEEE Trans. Intell. Veh.

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The integration of unmanned aerial vehicles (UAVs) with wireless communication systems greatly enhances the application area of intelligent transportation systems (ITS). One of the mission-critical applications enabled by these systems is disaster management, where communication functionality can provide users with supplementary information such as escape routes, time to rescue, etc. In this paper, considering a large area with several locations of interest, we formulate and solve the optimization problem of delivering critical information by optimizing the UAV speed and the order of visits to the locations of interest so that the mission time is minimized. The formulated problem is a mixed integer nonlinear program, which is quite challenging to solve. To reduce the complexity of solution algorithms, we propose two circular trajectory designs. The first algorithm finds the optimal velocity and radius of the circular trajectories of the UAV. The second algorithm finds the optimal connections to join the individual circular trajectories. An important practical benefit of using circular trajectory design is that it can be implemented through either fixed-wing or rotary-wing UAVs. Our numerical results reveal that, with practical simulation parameters, the proposed single circular trajectory design provides a time saving of at least 30% as compared to existing zigzag trajectory design. Moreover, the proposed multiple circular trajectory design cuts the total mission completion time by at least 7 times as compared to proposed single circular trajectory design.

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Section: Related Workmentioning

confidence: 99%

Low Complexity Algorithms for Mission Completion Time Minimization in UAV-Based Emergency Response

Ashraf,

Gaydamaka,

Tan

et al. 2024

IEEE Trans. Intell. Veh.

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show abstract

“…A drone sent into a tunnel can be used to inspect the surface and detect cracks [10]. For post-disaster scenarios some previous work generated semantic segmentation maps [11] or damage maps [12,13] to assess the damage level of a disaster scene, and some work developed algorithms to detect flood survivors [14] and track targets such as criminals [15]. There are usually two ways for a drone to process the collected sensor data: 1) running CNNs on-board; and 2) transferring the data to a ground control station (GCS) for processing.…”

Section: Disaster Management Using Drones and Computer Visionmentioning

confidence: 99%

"Supporting first responders in emergencies using computer vision and drones "

Zhang

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support. I am grateful to my colleagues for their help. I would also like to thank the large and great Chinese community at ITC. I enjoyed the happy time that I spent with all of you, and I will remember every Chinese festival we celebrated together.I would like to thank my parents, especially my mother. Even though we are 9,000 kilometers apart, she always encourages and supports me. I also want to express my gratitude to Pastor Chung, his spouse, and many brothers and sisters in the Netherlands, Germany, and China. Besides, I would like to thank my Master's supervisor Prof. Lin Zhang, for leading me to the door of research.The COVID-19 pandemic, natural disasters, wars... Four years is not a long time in one's life, but I am sure I will remember many things that happened during those four years for the rest of my life. May we have peace and joy each and every day, and I hope to meet many of you in the near future.

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A classification model for lightning images without branches based on the tortuosity metric

Orozco-Gomez,

Bolanos,

Herrera-Murcia

et al. 2023

Model. Earth Syst. Environ.

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RescueNet: YOLO-based object detection model for detection and counting of flood survivors

Cited by 15 publications

References 19 publications

Low Complexity Algorithms for Mission Completion Time Minimization in UAV-Based Emergency Response

Low Complexity Algorithms for Mission Completion Time Minimization in UAV-Based Emergency Response

"Supporting first responders in emergencies using computer vision and drones "

A classification model for lightning images without branches based on the tortuosity metric

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