Jarlgren, 2024 - Google Patents
Evaluating the Efficiency and Accuracy of vSLAM Systems forUAVs in GPS-Denied ConditionsJarlgren, 2024
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- 7925885603925558652
- Author
- Jarlgren J
- Publication year
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This research evaluates the performance of two prominent Visual Simultaneous Localization and Mapping (vSLAM) systems, ORB-SLAM3 and stella_vslam, for autonomous navigation of Unmanned Aerial Vehicles (UAVs) in large landscapes without GPS. ORBSLAM3 and …
- 238000013507 mapping 0 abstract description 42
Classifications
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
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- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00664—Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
- G06K9/00684—Categorising the entire scene, e.g. birthday party or wedding scene
- G06K9/00697—Outdoor scenes
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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