TY - GEN
T1 - Homing navigation with image matching approach
AU - Lee, Jiwon
AU - Kim, Dae Eun
PY - 2010
Y1 - 2010
N2 - 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
AB - 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
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M3 - Conference contribution
AN - SCOPUS:84866689276
SN - 9784990288044
T3 - Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10
SP - 963
EP - 966
BT - Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10
T2 - 15th International Symposium on Artificial Life and Robotics, AROB '10
Y2 - 4 February 2010 through 6 February 2010
ER -