scholarly journals Acoustic Su-Schrieffer-Heeger lattice: Direct mapping of acoustic waveguides to the Su-Schrieffer-Heeger model

2021 ◽  
Vol 103 (22) ◽  
Author(s):  
Antonin Coutant ◽  
Audrey Sivadon ◽  
Liyang Zheng ◽  
Vassos Achilleos ◽  
Olivier Richoux ◽  
...  
2020 ◽  
Vol 13 (9) ◽  
pp. 094001
Author(s):  
Wei Zhao ◽  
Yunfei Xu ◽  
Yuting Yang ◽  
Zhi Tao ◽  
Zhi Hong Hang

2021 ◽  
Vol 11 (4) ◽  
pp. 1953
Author(s):  
Francisco Martín ◽  
Fernando González ◽  
José Miguel Guerrero ◽  
Manuel Fernández ◽  
Jonatan Ginés

The perception and identification of visual stimuli from the environment is a fundamental capacity of autonomous mobile robots. Current deep learning techniques make it possible to identify and segment objects of interest in an image. This paper presents a novel algorithm to segment the object’s space from a deep segmentation of an image taken by a 3D camera. The proposed approach solves the boundary pixel problem that appears when a direct mapping from segmented pixels to their correspondence in the point cloud is used. We validate our approach by comparing baseline approaches using real images taken by a 3D camera, showing that our method outperforms their results in terms of accuracy and reliability. As an application of the proposed algorithm, we present a semantic mapping approach for a mobile robot’s indoor environments.


Author(s):  
Ye Zhu ◽  
Ray Withers ◽  
Laure Bourgeois ◽  
Christian Dwyer ◽  
Joanne Etheridge
Keyword(s):  

2009 ◽  
Vol 79 (19) ◽  
Author(s):  
Shigeki Kawai ◽  
Naruo Sasaki ◽  
Hideki Kawakatsu
Keyword(s):  

1984 ◽  
Vol 76 (4) ◽  
pp. 1279-1279 ◽  
Author(s):  
Allan C. Boyles ◽  
Robert A. Koch
Keyword(s):  

Author(s):  
Chen Kuei Jen ◽  
A. Safaai-Jazi ◽  
G.W. Farnell

Author(s):  
Danil Sokolov ◽  
Alexander Bystrov ◽  
Alex Yakovlev
Keyword(s):  

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