Image mosaicing for visual feedback in ground robot navigation

Sofia Esquivel-Hernandez, Rigoberto Juarez-Salazar, Jorge Gudino-Lau

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Nowadays, computer vision is an essential part of modern autonomous mobile robots. Fisheye cameras are employed to capture large scenes with a single camera, but the hard radial distortion limits the accuracy of measurements. In this research, a vision system with multiple low-distortion cameras to capture large flat scenes from different viewpoints is proposed. This system applies a homography-based image mosaicing method and linear image interpolation. The obtained results show that the proposed system is useful for visual navigation of ground mobile robots.

Idioma originalInglés
Título de la publicación alojadaOptics and Photonics for Information Processing XV
EditoresKhan M. Iftekharuddin, Abdul A. S. Awwal, Victor Hugo Diaz-Ramirez, Andres Marquez
EditorialSPIE
ISBN (versión digital)9781510644762
DOI
EstadoPublicada - 2021
EventoOptics and Photonics for Information Processing XV 2021 - San Diego, Estados Unidos
Duración: 1 ago 20215 ago 2021

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen11841
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X

Conferencia

ConferenciaOptics and Photonics for Information Processing XV 2021
País/TerritorioEstados Unidos
CiudadSan Diego
Período1/08/215/08/21

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