SURF-BRISK–Based Image Infilling Method for Terrain Classification of a Legged Robot

SURF-BRISK–Based Image Infilling Method for Terrain Classification of a Legged Robot

In this study, we propose adaptive locomotion for an autonomous multilegged walking robot, an image infilling method for terrain classification based on a combination of speeded up robust features, and binary robust invariant scalable keypoints (SURF-BRISK). The terrain classifier is based on the ba...

Full description

Bibliographic Details
Main Authors: Yaguang Zhu, Chaoyu Jia, Chao Ma, Qiong Liu
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Applied Sciences
Subjects:
terrain classification
image infilling method
multilegged robot
Online Access:https://www.mdpi.com/2076-3417/9/9/1779

Internet

https://www.mdpi.com/2076-3417/9/9/1779

Similar Items