Realtime object recognition using decision tree learning

被引：0
|
作者：
Wilking, D [1 ]
Röfer, T
机构：
[1] Rhein Westfal TH Aachen, Embedded Software Grp, Chair Comp Sci 11, D-5100 Aachen, Germany
[2] Univ Bremen, Ctr Comp Technol TZI, Bremen, Germany
来源：
ROBOCUP 2004: ROBOT SOCCER WORLD CUP VIII | 2005年 / 3276卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An object recognition process in general is designed as a domain specific, highly specialized task. As the complexity of such a process tends to be rather inestimable, machine learning is used to achieve better results in recognition. The goal of the process presented in this paper is the computation of the pose of a visible robot, i.e. the distance, angle, and orientation. The recognition process itself, the division into subtasks, as well as the results of the process are presented. The algorithms involved have been implemented and tested on a Sony Aibo.
引用
收藏
页码：556 / 563
页数：8
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