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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Natural-Inspired Drone Swarm Processing Fov For Efficient Multi-View Monitoring And Object Detection |
| Authors Name: | Osama ElSayed , Sherine Youssef , Ossama Ismail |
| Download E-Certificate: | Download |
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IJNRD_189553
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| Published Paper Id: | IJNRD2303421 |
| Published In: | Volume 8 Issue 3, March-2023 |
| DOI: | |
| Abstract: | The rising interest in aerial swarm drones, a type of multi-agent robotic system, has sparked potential applications. This paper presents the Intelligent Model Using Swarm Drones for Surveillance Applications. It proposes the use of commercially available DJI Tello drones for unmanned aerial vehicle (UAV) swarm missions as a cost-effective alternative to custom-made drones. To enable simultaneous control of multiple drones and introduce real-time video stitching, a camera path estimation and homography refinement method will be used. The paper aims to contribute to the surveillance swarm drone industry by decreasing data transfer, storage, management, and monitoring, using efficient multi-view panoramic imaging and extra compression of surveillance swarm drones' cameras' footage through stitching. To enhance video stitching stability, a unified framework for joint video stitching and stabilization is proposed. This approach involves creating an optimal virtual 2D camera path from the original paths, space-temporal optimization that considers inter and intra motions, grid-based tracking for improved robustness, and mesh-based motion models to handle scene parallax in videos captured simultaneously by multiple moving cameras that may exhibit shaking and artifacts when directly applying image stitching methods. |
| Keywords: | Unmanned Aerial Vehicles, Drones, Multi-UAV, Object detection, Video stitching, video stabilization |
| Cite Article: | " Natural-Inspired Drone Swarm Processing Fov For Efficient Multi-View Monitoring And Object Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 3, page no.e157-e173, March-2023, Available :http://www.ijnrd.org/papers/IJNRD2303421.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2303421 Registration ID: 189553 Published In: Volume 8 Issue 3, March-2023 DOI (Digital Object Identifier): Page No: e157-e173 Country: Alexandria, Alexandria, Egypt Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2303421 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2303421 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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