From Augmentation to Inpainting: Improving Visual SLAM With Signal Enhancement Techniques and GAN-Based Image Inpainting

From Augmentation to Inpainting: Improving Visual SLAM With Signal Enhancement Techniques and GAN-Based Image Inpainting

This paper undertakes a comprehensive investigation that surpasses the conventional examination of signal enhancement techniques and their effects on visual Simultaneous Localization and Mapping (vSLAM) performance across diverse scenarios. Going beyond the conventional scope, the study extends its...

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Detalhes bibliográficos
Principais autores: Charalambos Theodorou, Vladan Velisavljevic, Vladimir Dyo, Fredi Nonyelu
Formato: Artigo
Idioma:English
Publicado em: IEEE 2024-01-01
coleção:IEEE Access
Assuntos:
Signal enhancement
denoising techniques
visual SLAM
object detection
simultaneous localization and mapping (SLAM)
generative adversarial network (GAN)
Acesso em linha:https://ieeexplore.ieee.org/document/10462076/

Internet

https://ieeexplore.ieee.org/document/10462076/

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