Accelerated Reconstruction of Scenes Using CUDA-Based Parallel Computing
In recent years, perceiving the environment has been the most important part of unmanned aerial vehicles (UAVs) inspection tasks on the battlefield scene. This article aims to study how to quickly reconstruct unknown battlefield scenes, such as buildings, streets, etc. using UAVs equipped with binoc...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10816589/ |
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| author | Gui Zou Jin Jiang Qi Chen |
| author_facet | Gui Zou Jin Jiang Qi Chen |
| author_sort | Gui Zou |
| collection | DOAJ |
| description | In recent years, perceiving the environment has been the most important part of unmanned aerial vehicles (UAVs) inspection tasks on the battlefield scene. This article aims to study how to quickly reconstruct unknown battlefield scenes, such as buildings, streets, etc. using UAVs equipped with binocular cameras and stereo-matching technology. We use a binocular module to reduce the cost of drone-borne equipment and lighten the load of the UAVs. Since the drone needs to use an embedded onboard computer and stereo matching algorithms require massive computing resources, this paper studies the optimization of CUDA-based stereo matching algorithms on embedded devices to improve the reconstruction effect of scenes and achieve rapid reconstruction, thereby reducing time costs, and enhancing drone efficiency. |
| format | Article |
| id | doaj-art-2d6b46d05b444e71bdb47b90bca7b726 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-2d6b46d05b444e71bdb47b90bca7b7262025-01-21T00:01:14ZengIEEEIEEE Access2169-35362025-01-0113104891049810.1109/ACCESS.2024.352309910816589Accelerated Reconstruction of Scenes Using CUDA-Based Parallel ComputingGui Zou0Jin Jiang1https://orcid.org/0009-0002-0460-2140Qi Chen2School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, ChinaChina National Aeronautical Radio Electronics Research Institute, Shanghai, ChinaChina National Aeronautical Radio Electronics Research Institute, Shanghai, ChinaIn recent years, perceiving the environment has been the most important part of unmanned aerial vehicles (UAVs) inspection tasks on the battlefield scene. This article aims to study how to quickly reconstruct unknown battlefield scenes, such as buildings, streets, etc. using UAVs equipped with binocular cameras and stereo-matching technology. We use a binocular module to reduce the cost of drone-borne equipment and lighten the load of the UAVs. Since the drone needs to use an embedded onboard computer and stereo matching algorithms require massive computing resources, this paper studies the optimization of CUDA-based stereo matching algorithms on embedded devices to improve the reconstruction effect of scenes and achieve rapid reconstruction, thereby reducing time costs, and enhancing drone efficiency.https://ieeexplore.ieee.org/document/10816589/Unmanned aerial vehicles (UAVs)stereo matchingscene reconstructionCUDA optimization |
| spellingShingle | Gui Zou Jin Jiang Qi Chen Accelerated Reconstruction of Scenes Using CUDA-Based Parallel Computing IEEE Access Unmanned aerial vehicles (UAVs) stereo matching scene reconstruction CUDA optimization |
| title | Accelerated Reconstruction of Scenes Using CUDA-Based Parallel Computing |
| title_full | Accelerated Reconstruction of Scenes Using CUDA-Based Parallel Computing |
| title_fullStr | Accelerated Reconstruction of Scenes Using CUDA-Based Parallel Computing |
| title_full_unstemmed | Accelerated Reconstruction of Scenes Using CUDA-Based Parallel Computing |
| title_short | Accelerated Reconstruction of Scenes Using CUDA-Based Parallel Computing |
| title_sort | accelerated reconstruction of scenes using cuda based parallel computing |
| topic | Unmanned aerial vehicles (UAVs) stereo matching scene reconstruction CUDA optimization |
| url | https://ieeexplore.ieee.org/document/10816589/ |
| work_keys_str_mv | AT guizou acceleratedreconstructionofscenesusingcudabasedparallelcomputing AT jinjiang acceleratedreconstructionofscenesusingcudabasedparallelcomputing AT qichen acceleratedreconstructionofscenesusingcudabasedparallelcomputing |