Vision-Based 3-D Localization of UAV Using Deep Image Matching Article Swipe
M Hasnat Khurshid
,
Muhammad Shahzad
,
Hasan Ali Khattak
,
Muhammad Imran Malik
,
Muhammad Moazam Fraz
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/jstars.2024.3422310
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/jstars.2024.3422310
Unmanned aerial vehicles (UAVs) have revolutionized various industries by providing efficient and automated flight capabilities. However, reliance on GPS and traditional navigation systems poses challenges in scenarios where signal interference or failures occur. In this research, we present a novel computer-vision-based method to enhance UAV navigation, enabling accurate height and location estimation. Our approach utilizes a sophisticated network that leverages a pair of images to estimate UAV height. The pyramid stereo-matching network is employed to extract robust image features and generate a disparity map. Subsequently, a custom network processes and convolves these data, employing diverse computer vision techniques to achieve precise height estimation. To evaluate the effectiveness of our proposed method, we collected a comprehensive dataset by conducting flights with a Phantom 4 Pro drone over the NUST Main campus, H-12 Islamabad. The dataset encompasses images captured at 10 different heights, spanning from 100 to 280 m, with flights evenly spaced 20 m apart. In rigorous evaluations, our approach demonstrates promising results compared to existing methods. By liberating UAVs from reliance on GPS, this vision-based 3-D localization technique holds immense potential to ensure successful flights even in challenging environments.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/jstars.2024.3422310
- OA Status
- gold
- Cited By
- 4
- References
- 35
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4400229397Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/jstars.2024.3422310Digital Object Identifier
- Title
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Vision-Based 3-D Localization of UAV Using Deep Image MatchingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
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M Hasnat Khurshid, Muhammad Shahzad, Hasan Ali Khattak, Muhammad Imran Malik, Muhammad Moazam FrazList of authors in order
- Landing page
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https://doi.org/10.1109/jstars.2024.3422310Publisher landing page
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1109/jstars.2024.3422310Direct OA link when available
- Concepts
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Computer science, Artificial intelligence, Computer vision, Drone, Global Positioning System, Matching (statistics), Pyramid (geometry), Image (mathematics), Telecommunications, Mathematics, Biology, Geometry, Genetics, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
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2025: 3, 2024: 1Per-year citation counts (last 5 years)
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35Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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