A landmark vector approach using gray-colored information

Changmin Lee, DaeEun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Homing navigation is an important aspect in navigation behaviours of animals. There has been many types of navigation but we focus on the vision-based landmark navigation to return home. Visual navigation is involved with image matching process over snapshot images. Landmark vector methods simplify the environmental information into a set of landmark vectors, and then compare the landmark vectors obtained from each snapshot. In this paper, we encode landmark vectors using the gray-colored values as the length of vectors. Then we apply the landmark arrangement method to those landmark vectors. Using the gray-colored information, we can estimate the homing direction at a given position. We show that the suggested method is effective in homing navigation.

Original languageEnglish
Title of host publicationFrom Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings
EditorsJohn Hallam, Elio Tuci, Alexandros Giagkos, Myra Wilson
PublisherSpringer Verlag
Pages138-144
Number of pages7
ISBN (Print)9783319434872
DOIs
Publication statusPublished - 2016 Jan 1
Event14th International Conference on Simulation of Adaptive Behavior, SAB 2016 - Aberystwyth, United Kingdom
Duration: 2016 Aug 232016 Aug 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9825 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on Simulation of Adaptive Behavior, SAB 2016
CountryUnited Kingdom
CityAberystwyth
Period16/8/2316/8/26

Fingerprint

Landmarks
Navigation
Snapshot
Image matching
Image Matching
Animals
Arrangement
Simplify
Estimate

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Lee, C., & Kim, D. (2016). A landmark vector approach using gray-colored information. In J. Hallam, E. Tuci, A. Giagkos, & M. Wilson (Eds.), From Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings (pp. 138-144). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9825 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-43488-9_13
Lee, Changmin ; Kim, DaeEun. / A landmark vector approach using gray-colored information. From Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings. editor / John Hallam ; Elio Tuci ; Alexandros Giagkos ; Myra Wilson. Springer Verlag, 2016. pp. 138-144 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "Homing navigation is an important aspect in navigation behaviours of animals. There has been many types of navigation but we focus on the vision-based landmark navigation to return home. Visual navigation is involved with image matching process over snapshot images. Landmark vector methods simplify the environmental information into a set of landmark vectors, and then compare the landmark vectors obtained from each snapshot. In this paper, we encode landmark vectors using the gray-colored values as the length of vectors. Then we apply the landmark arrangement method to those landmark vectors. Using the gray-colored information, we can estimate the homing direction at a given position. We show that the suggested method is effective in homing navigation.",
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Lee, C & Kim, D 2016, A landmark vector approach using gray-colored information. in J Hallam, E Tuci, A Giagkos & M Wilson (eds), From Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9825 LNCS, Springer Verlag, pp. 138-144, 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Aberystwyth, United Kingdom, 16/8/23. https://doi.org/10.1007/978-3-319-43488-9_13

A landmark vector approach using gray-colored information. / Lee, Changmin; Kim, DaeEun.

From Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings. ed. / John Hallam; Elio Tuci; Alexandros Giagkos; Myra Wilson. Springer Verlag, 2016. p. 138-144 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9825 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Homing navigation is an important aspect in navigation behaviours of animals. There has been many types of navigation but we focus on the vision-based landmark navigation to return home. Visual navigation is involved with image matching process over snapshot images. Landmark vector methods simplify the environmental information into a set of landmark vectors, and then compare the landmark vectors obtained from each snapshot. In this paper, we encode landmark vectors using the gray-colored values as the length of vectors. Then we apply the landmark arrangement method to those landmark vectors. Using the gray-colored information, we can estimate the homing direction at a given position. We show that the suggested method is effective in homing navigation.

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Lee C, Kim D. A landmark vector approach using gray-colored information. In Hallam J, Tuci E, Giagkos A, Wilson M, editors, From Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings. Springer Verlag. 2016. p. 138-144. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-43488-9_13