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.
|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|
|Number of pages||7|
|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
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||14th International Conference on Simulation of Adaptive Behavior, SAB 2016|
|Period||16/8/23 → 16/8/26|
Bibliographical noteFunding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2014R1A2A1A11053839).
© Springer International Publishing Switzerland 2016.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)