Visual environment recognition for robot path planning using template matched filters

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationOptics and Photonics for Information Processing XI
EditorsVictor H. Diaz-Ramirez, Andres Marquez, Abdul A. S. Awwal, Mireya Garcia Vazquez, Khan M. Iftekharuddin
PublisherSPIE
ISBN (Electronic)9781510612471
DOIs
StatePublished - 2017
EventOptics and Photonics for Information Processing XI 2017 - San Diego, United States
Duration: 7 Aug 20178 Aug 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10395
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceOptics and Photonics for Information Processing XI 2017
Country/TerritoryUnited States
CitySan Diego
Period7/08/178/08/17

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