Feature Selection Criteria for Real Time EKF-SLAM Algorithm

This paper presents a seletion procedure for environmet features for the correction stage of a SLAM (Simultaneous Localization and Mapping) algorithm based on an Extended Kalman Filter (EKF). This approach decreases the computational time of the correction stage which allows for real and constant-ti...

Full description

Bibliographic Details
Main Authors: Fernando Auat Cheein, Gustavo Scaglia, Fernando di Sciasio, Ricardo Carelli
Format: Article
Language:English
Published: SAGE Publishing 2009-09-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/7237
_version_ 1828760560698654720
author Fernando Auat Cheein
Gustavo Scaglia
Fernando di Sciasio
Ricardo Carelli
author_facet Fernando Auat Cheein
Gustavo Scaglia
Fernando di Sciasio
Ricardo Carelli
author_sort Fernando Auat Cheein
collection DOAJ
description This paper presents a seletion procedure for environmet features for the correction stage of a SLAM (Simultaneous Localization and Mapping) algorithm based on an Extended Kalman Filter (EKF). This approach decreases the computational time of the correction stage which allows for real and constant-time implementations of the SLAM. The selection procedure consists in chosing the features the SLAM system state covariance is more sensible to. The entire system is implemented on a mobile robot equipped with a range sensor laser. The features extracted from the environment correspond to lines and corners. Experimental results of the real time SLAM algorithm and an analysis of the processing-time consumed by the SLAM with the feature selection procedure proposed are shown. A comparison between the feature selection approach proposed and the classical sequential EKF-SLAM along with an entropy feature selection approach is also performed.
first_indexed 2024-12-11T01:15:55Z
format Article
id doaj.art-ca1c071eb27d42779e2b5a5181490f53
institution Directory Open Access Journal
issn 1729-8814
language English
last_indexed 2024-12-11T01:15:55Z
publishDate 2009-09-01
publisher SAGE Publishing
record_format Article
series International Journal of Advanced Robotic Systems
spelling doaj.art-ca1c071eb27d42779e2b5a5181490f532022-12-22T01:25:52ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142009-09-01610.5772/723710.5772_7237Feature Selection Criteria for Real Time EKF-SLAM AlgorithmFernando Auat CheeinGustavo ScagliaFernando di SciasioRicardo CarelliThis paper presents a seletion procedure for environmet features for the correction stage of a SLAM (Simultaneous Localization and Mapping) algorithm based on an Extended Kalman Filter (EKF). This approach decreases the computational time of the correction stage which allows for real and constant-time implementations of the SLAM. The selection procedure consists in chosing the features the SLAM system state covariance is more sensible to. The entire system is implemented on a mobile robot equipped with a range sensor laser. The features extracted from the environment correspond to lines and corners. Experimental results of the real time SLAM algorithm and an analysis of the processing-time consumed by the SLAM with the feature selection procedure proposed are shown. A comparison between the feature selection approach proposed and the classical sequential EKF-SLAM along with an entropy feature selection approach is also performed.https://doi.org/10.5772/7237
spellingShingle Fernando Auat Cheein
Gustavo Scaglia
Fernando di Sciasio
Ricardo Carelli
Feature Selection Criteria for Real Time EKF-SLAM Algorithm
International Journal of Advanced Robotic Systems
title Feature Selection Criteria for Real Time EKF-SLAM Algorithm
title_full Feature Selection Criteria for Real Time EKF-SLAM Algorithm
title_fullStr Feature Selection Criteria for Real Time EKF-SLAM Algorithm
title_full_unstemmed Feature Selection Criteria for Real Time EKF-SLAM Algorithm
title_short Feature Selection Criteria for Real Time EKF-SLAM Algorithm
title_sort feature selection criteria for real time ekf slam algorithm
url https://doi.org/10.5772/7237
work_keys_str_mv AT fernandoauatcheein featureselectioncriteriaforrealtimeekfslamalgorithm
AT gustavoscaglia featureselectioncriteriaforrealtimeekfslamalgorithm
AT fernandodisciasio featureselectioncriteriaforrealtimeekfslamalgorithm
AT ricardocarelli featureselectioncriteriaforrealtimeekfslamalgorithm