Unifying Deep ConvNet and Semantic Edge Features for Loop Closure Detection
Loop closure detection is an important component of Simultaneous Localization and Mapping (SLAM). In this paper, a novel two-branch loop closure detection algorithm unifying deep Convolutional Neural Network (ConvNet) features and semantic edge features is proposed. In detail, we use one feature ext...
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| Автори: | , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2022-09-01
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| Серія: | Remote Sensing |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2072-4292/14/19/4885 |
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