Traversability Assessment of Terrain for Autonomous Robot Navigation

被引：0
|
作者：
SoundraPandian, K. K. [1 ]
Mathur, Priyanka [1 ]
机构：
[1] Indian Inst Informat Technol Design & Mfg Jabalpu, Dept Elect & Commun, Jabalpur 482005, Madhya Pradesh, India
来源：
INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS (IMECS 2010), VOLS I-III | 2010年
关键词：
Terrain classification; Traversability assessment; Autonomous robot; Co-occurrence matrix; Path planning Navigation (PPN);
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Autonomous robot navigation with the capability to perceive the surrounding environment of the robot enhances the efficiency and safety of the robot. A technique for terrain classification for traversability assessment of mobile robot navigating in natural terrain by extracting the textural features from visual sensing of terrain data using co-occurrence matrix is presented in this paper. The algorithm uses crisp rule based (CRB) classifier to detect the navigable terrain thereby planning the optimum path for the robot.
引用
收藏
页码：1286 / 1289
页数：4
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