Superpixel Segmentation Based Synthetic Classifications with Clear Boundary Information for a Legged Robot

Superpixel Segmentation Based Synthetic Classifications with Clear Boundary Information for a Legged Robot

In view of terrain classification of the autonomous multi-legged walking robots, two synthetic classification methods for terrain classification, Simple Linear Iterative Clustering based Support Vector Machine (SLIC-SVM) and Simple Linear Iterative Clustering based SegNet (SLIC-SegNet), are proposed...

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Bibliographic Details
Main Authors: Yaguang Zhu, Kailu Luo, Chao Ma, Qiong Liu, Bo Jin
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sensors
Subjects:
boundary information
legged robot
superpixel segmentation
terrain classification
Online Access:http://www.mdpi.com/1424-8220/18/9/2808

Internet

http://www.mdpi.com/1424-8220/18/9/2808

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