Florea et al., 2021 - Google Patents
Wilduav: Monocular uav dataset for depth estimation tasksFlorea et al., 2021
- Document ID
- 16440032099299158895
- Author
- Florea H
- Miclea V
- Nedevschi S
- Publication year
- Publication venue
- 2021 IEEE 17th International Conference on Intelligent Computer Communication and Processing (ICCP)
External Links
Snippet
Acquiring scene depth information remains a crucial step in most autonomous navigation applications, enabling advanced features such as obstacle avoidance and SLAM. In many situations, extracting this data from camera feeds is preferred to the alternative, active depth …
- 238000000034 method 0 abstract description 19
Classifications
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
- G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06T7/00—Image analysis
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- 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
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