Loop Closure Detection with CNN in RGB-D SLAM for Intelligent Agricultural Equipment

Loop closure detection plays an important role in the construction of reliable maps for intelligent agricultural machinery equipment. With the combination of convolutional neural networks (CNN), its accuracy and real-time performance are better than those based on traditional manual features. Howeve...

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Detalles Bibliográficos

Autores principales:	Haixia Qi, Chaohai Wang, Jianwen Li, Linlin Shi
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2024-06-01
Colección:	Agriculture
Materias:	intelligent agricultural equipment RGB-D SLAM loop closure detection lightweight convolutional neural networks multi-probe random-hyperplane locality-sensitive hashing
Acceso en línea:	https://www.mdpi.com/2077-0472/14/6/949
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