An improved evolutionary approach for egomotion estimation with a 3D TOF camera

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4 Citations (Scopus)

Abstract

We propose an evolutionary approach for egomotion estimation with a 3D TOF camera. It is composed of two main modules plus a preprocessing step. The first module computes the Neural Gas (NG) approximation of the preprocessed camera 3D data. The second module is an Evolution Strategy which performs the task of estimating the motion parameters by searching on the space of linear transformations restricted to the translation and rotation, applied on the codevector sets obtained by the NG for successive camera readings. The fitness function is the matching error between the transformed last set of codevectors and the codevector set corresponding to the next camera readings. In this paper, we report new modifications and improvements of this system and provide several comparisons between our and other well known registration algorithms.

Original languageEnglish
Title of host publicationBioinspired Applications in Artificial and Natural Computation - Third International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2009, Proceedings
Pages390-398
Number of pages9
EditionPART 2
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event3rd International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2009 - Santiago de Compostela, Spain
Duration: 22 Jun 200926 Jun 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5602 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2009
Country/TerritorySpain
CitySantiago de Compostela
Period22/06/0926/06/09

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