A landmark vector approach using gray-colored information

Changmin Lee; Dae Eun Kim

doi:10.1007/978-3-319-43488-9_13

A landmark vector approach using gray-colored information

Changmin Lee, Dae Eun Kim

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	From Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings
Editors	John Hallam, Elio Tuci, Alexandros Giagkos, Myra Wilson
Publisher	Springer Verlag
Pages	138-144
Number of pages	7
ISBN (Print)	9783319434872
DOIs	https://doi.org/10.1007/978-3-319-43488-9_13
Publication status	Published - 2016
Event	14th International Conference on Simulation of Adaptive Behavior, SAB 2016 - Aberystwyth, United Kingdom Duration: 2016 Aug 23 → 2016 Aug 26

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9825 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	14th International Conference on Simulation of Adaptive Behavior, SAB 2016
Country/Territory	United Kingdom
City	Aberystwyth
Period	16/8/23 → 16/8/26

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2014R1A2A1A11053839).

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-43488-9_13

Cite this

Lee, C., & Kim, D. E. (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, Dae Eun. / 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.",

author = "Changmin Lee and Kim, {Dae Eun}",

note = "Funding Information: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2014R1A2A1A11053839). Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 14th International Conference on Simulation of Adaptive Behavior, SAB 2016 ; Conference date: 23-08-2016 Through 26-08-2016",

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Lee, C & Kim, DE 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, Dae Eun.

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 proceeding › Conference contribution

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N1 - Funding Information: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2014R1A2A1A11053839). Publisher Copyright: © Springer International Publishing Switzerland 2016.

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N2 - 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.

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 DE. 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

A landmark vector approach using gray-colored information

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