Aerial Imagery Terrain Classification for Long-Range Autonomous Navigation

被引：10
|
作者：
Hudjakov, Robert [1 ]
Tamre, Mart [1 ]
机构：
[1] Tallinn Univ Technol, Dept Mechatron, Tallinn, Estonia
来源：
ISOT: 2009 INTERNATIONAL SYMPOSIUM ON OPTOMECHATRONIC TECHNOLOGIES | 2009年
关键词：
Optical terrain classification; UAV; UGV; convolutional neural networks;
D O I：
10.1109/ISOT.2009.5326104
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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).
引用
收藏
页码：88 / 91
页数：4
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