@inproceedings{00d6e2c17985452eabf5d2a6e53116c2,
title = "Obstacle recognition for path planning in autonomous mobile robots",
abstract = "Computer vision is an important task in robotics applications. This work proposes an approach for autonomous mobile robot navigation using the integration of the template-matching filters for obstacle detection and the evolutionary artificial potential field method for path planning. The recognition system employs a digital camera to sense the environment of a mobile robot. The captured scene is processed by a bank of space variant filters in order to find the obstacles and a feasible area for the robot navigation. The path planning employs evolutionary artificial potential fields to derive optimal potential field functions using evolutionary computation. Simulation results to validate the analysis and implementation are provided; they were specifically made to show the efiectiveness and the eficiency of the proposal.",
keywords = "Object recognition, evolutionary artificial potential field, mobile robots, path planning, template matching",
author = "Ulises Orozco-Rosas and Kenia Picos and Oscar Montiel and Roberto Sep{\'u}lveda and D{\'i}az-Ram{\'i}rez, {V{\'i}ctor H.}",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; 10th Conference on Optics and Photonics for Information Processing ; Conference date: 29-08-2016 Through 30-08-2016",
year = "2016",
doi = "10.1117/12.2237412",
language = "Ingl{\'e}s",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Iftekharuddin, {Khan M.} and Andres Marquez and Matin, {Mohammad A.} and Awwal, {Abdul A. S.} and Vazquez, {Mireya Garcia}",
booktitle = "Optics and Photonics for Information Processing X",
address = "Estados Unidos",
}