Embedded visual SLAM for navigation of an autonomous vehicle

Marco A. Moreno-Armend́ariz, Carlos A. Duchanoy, ́Angel A.G. Zanatta-Júarez, Carlos A. Cruz-Villar

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

An important objective of an autonomous vehicle is to navigate through an unknown environment. A method used to achieve this objective is to generate a map. A map provides the means to the vehicle to create paths between the visited places autonomously in order to perform a task. A particular problem is to obtain such a map when there is no initial knowledge of the surroundings or not even the initial position of the robot in the environment. The present paper shows a new design of a Visual SLAM processor that solves this problem and it is implemented on an FPGA. The processor is then tested on a differential traction mobile robot with a computer vision system that travels on a controlled unknown environment. The experimental results obtained show a good performance in real time.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2nd IASTED International Conference on Robotics, Robo 2011
Páginas211-218
Número de páginas8
DOI
EstadoPublicada - 2011
Evento2nd IASTED International Conference on Robotics, Robo 2011 - Pittsburgh, PA, Estados Unidos
Duración: 7 nov. 20119 nov. 2011

Serie de la publicación

NombreProceedings of the 2nd IASTED International Conference on Robotics, Robo 2011

Conferencia

Conferencia2nd IASTED International Conference on Robotics, Robo 2011
País/TerritorioEstados Unidos
CiudadPittsburgh, PA
Período7/11/119/11/11

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