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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Detalles Bibliográficos
Autores principales: Zhu, Yaguang, Luo, Kailu, Ma, Chao, Liu, Qiong, Jin, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165028/
https://www.ncbi.nlm.nih.gov/pubmed/30149656
http://dx.doi.org/10.3390/s18092808

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165028/
https://www.ncbi.nlm.nih.gov/pubmed/30149656
http://dx.doi.org/10.3390/s18092808

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