DocumentCode
2332107
Title
Aerial imagery terrain classification for long-range autonomous navigation
Author
Hudjakov, Robert ; Tamre, Mart
Author_Institution
Dept. of Mechatron., Tallinn Univ. of Technol., Tallinn, Estonia
fYear
2009
fDate
21-23 Sept. 2009
Firstpage
88
Lastpage
91
Abstract
This article focuses on the problem of terrain classification from aerial imagery with the intention to increase unmanned ground vehicle (UGV) road and off-road performance by providing means to analyze data from unmanned aerial vehicle (UAV).
Keywords
geophysical signal processing; image classification; navigation; optical images; remotely operated vehicles; road vehicles; terrain mapping; UGV road performance; aerial imagery terrain classification; long-range autonomous navigation; off-road performance; unmanned aerial vehicle; unmanned ground vehicle; Color; Feature extraction; Image processing; Navigation; Neural networks; Optical sensors; Roads; Robot sensing systems; Robot vision systems; Unmanned aerial vehicles; Optical terrain classification; UAV; UGV; convolutional neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Optomechatronic Technologies, 2009. ISOT 2009. International Symposium on
Conference_Location
Istanbul
Print_ISBN
978-1-4244-4209-6
Electronic_ISBN
978-1-4244-4210-2
Type
conf
DOI
10.1109/ISOT.2009.5326104
Filename
5326104
Link To Document