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Amirkabir campus dataset: Real-world challenges and scenarios of Visual Inertial Odometry (VIO) for visually impaired people

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Samadzadeh, Ali, Mojab, Mohammad Hassan, Soudani, Heydar, Mireshghollah, Seyed Hesamoddin, Nickabadi, Ahmad
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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