LWR-Net: Robust and Lightweight Place Recognition Network for Noisy and Low-Density Point Clouds

Point cloud-based retrieval for place recognition is essential in robotic applications like autonomous driving or simultaneous localization and mapping. However, this remains challenging in complex real-world scenes. Existing methods are sensitive to noisy, low-density point clouds and require exten...

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Detalles Bibliográficos
Autores principales: Zhang, Zhenghua, Chen, Guoliang, Shu, Mingcong, Wang, Xuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650809/
https://www.ncbi.nlm.nih.gov/pubmed/37960364
http://dx.doi.org/10.3390/s23218664

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650809/
https://www.ncbi.nlm.nih.gov/pubmed/37960364
http://dx.doi.org/10.3390/s23218664

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