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 | |
| Publication status | Published - 2016 Jan 1 |
| 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 | United Kingdom |
| City | Aberystwyth |
| Period | 16/8/23 → 16/8/26 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
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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
TY - GEN
T1 - A landmark vector approach using gray-colored information
AU - Lee, Changmin
AU - Kim, Dae Eun
PY - 2016/1/1
Y1 - 2016/1/1
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.
UR - http://www.scopus.com/inward/record.url?scp=84984813514&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84984813514&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-43488-9_13
DO - 10.1007/978-3-319-43488-9_13
M3 - Conference contribution
AN - SCOPUS:84984813514
SN - 9783319434872
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 138
EP - 144
BT - From Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings
A2 - Hallam, John
A2 - Tuci, Elio
A2 - Giagkos, Alexandros
A2 - Wilson, Myra
PB - Springer Verlag
ER -