Visual environment recognition for robot path planning using template matched filters

Ulises Orozco-Rosas, Kenia Picos, Víctor H. Díaz-Ramírez, Oscar Montiel, Roberto Sepúlveda

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

2 Citas (Scopus)

Resumen

A visual approach in environment recognition for robot navigation is proposed. This work includes a template matching filtering technique to detect obstacles and feasible paths using a single camera to sense a cluttered environment. In this problem statement, a robot can move from the start to the goal by choosing a single path between multiple possible ways. In order to generate an efficient and safe path for mobile robot navigation, the proposal employs a pseudo-bacterial potential field algorithm to derive optimal potential field functions using evolutionary computation. Simulation results are evaluated in synthetic and real scenes in terms of accuracy of environment recognition and efficiency of path planning computation.

Idioma originalInglés
Título de la publicación alojadaOptics and Photonics for Information Processing XI
EditoresVictor H. Diaz-Ramirez, Andres Marquez, Abdul A. S. Awwal, Mireya Garcia Vazquez, Khan M. Iftekharuddin
EditorialSPIE
ISBN (versión digital)9781510612471
DOI
EstadoPublicada - 2017
EventoOptics and Photonics for Information Processing XI 2017 - San Diego, Estados Unidos
Duración: 7 ago. 20178 ago. 2017

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen10395
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X

Conferencia

ConferenciaOptics and Photonics for Information Processing XI 2017
País/TerritorioEstados Unidos
CiudadSan Diego
Período7/08/178/08/17

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