Homing navigation with image matching approach

Jiwon Lee, Dae Eun Kim

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

Abstract

Many studies have tried to develop more accurate and highly sophisticate vision-based navigation algorithm. Simple and efficient navigation has been considered to save computation time and spatial memory. Bio-inspired navigation methods follow the navigation model of insects or animals, and it is believed that their mechanism use the image matching between the home snapshot image and the current snapshot image to determine the homing direction without any other information. This kind of simple navigation approach can be applied to robotic navigation. In this paper, we show the potential of the image matching approach for homing navigation

Original languageEnglish
Title of host publicationProceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10
Pages963-966
Number of pages4
Publication statusPublished - 2010 Dec 1
Event15th International Symposium on Artificial Life and Robotics, AROB '10 - Beppu, Oita, Japan
Duration: 2010 Feb 42010 Feb 6

Publication series

NameProceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10

Other

Other15th International Symposium on Artificial Life and Robotics, AROB '10
CountryJapan
CityBeppu, Oita
Period10/2/410/2/6

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Cite this

Lee, J., & Kim, D. E. (2010). Homing navigation with image matching approach. In Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10 (pp. 963-966). (Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10).