Loop Closure Detection Based on Compressed ConvNet Features in Dynamic Environments

In dynamic environments, convolutional neural networks (CNNs) often produce image feature maps with significant redundancy due to external factors such as moving objects and occlusions. These feature maps are inadequate as precise image descriptors for similarity measurement, hindering loop closure...

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Autors principals:	Shuhai Jiang, Zhongkai Zhou, Shangjie Sun
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-12-01
Col·lecció:	Applied Sciences
Matèries:	loop closure detection visual slam feature compression convolutional neural network KL transformation
Accés en línia:	https://www.mdpi.com/2076-3417/14/1/8
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