Object Surface Recognition Based on Standing Waves in Acoustic Signals
This paper proposes the use of the standing waves created by the interference between transmitted and reflected acoustic signals to recognize the size and the shape of a target object. This study shows that the profile of the distance spectrum generated by the interference encodes not only the dista...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-04-01
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| Series: | Frontiers in Robotics and AI |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frobt.2022.872964/full |
| _version_ | 1818523821832929280 |
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| author | Makoto Kumon Rikuto Fukunaga Tomoya Manabe Kei Nakatsuma |
| author_facet | Makoto Kumon Rikuto Fukunaga Tomoya Manabe Kei Nakatsuma |
| author_sort | Makoto Kumon |
| collection | DOAJ |
| description | This paper proposes the use of the standing waves created by the interference between transmitted and reflected acoustic signals to recognize the size and the shape of a target object. This study shows that the profile of the distance spectrum generated by the interference encodes not only the distance to the target, but also the distance to the edges of the target surface. To recognize the extent of the surface, a high-resolution distance spectrum is proposed, and a method to estimate the points on the edges by incorporating observations from multiple measurement is introduced. Numerical simulations validated the approach and showed that the method worked even in the presence of noise. Experimental results are also shown to verify that the method works in a real environment. |
| first_indexed | 2024-12-11T05:49:29Z |
| format | Article |
| id | doaj.art-eddcab7907f342c4b6bfc9fea05fac7f |
| institution | Directory Open Access Journal |
| issn | 2296-9144 |
| language | English |
| last_indexed | 2024-12-11T05:49:29Z |
| publishDate | 2022-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Robotics and AI |
| spelling | doaj.art-eddcab7907f342c4b6bfc9fea05fac7f2022-12-22T01:18:51ZengFrontiers Media S.A.Frontiers in Robotics and AI2296-91442022-04-01910.3389/frobt.2022.872964872964Object Surface Recognition Based on Standing Waves in Acoustic SignalsMakoto Kumon0Rikuto Fukunaga1Tomoya Manabe2Kei Nakatsuma3Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto, JapanGraduate School of Science and Technology, Kumamoto University, Kumamoto, JapanFaculty of Engineering, Kumamoto University, Kumamoto, JapanFaculty of Advanced Science and Technology, Kumamoto University, Kumamoto, JapanThis paper proposes the use of the standing waves created by the interference between transmitted and reflected acoustic signals to recognize the size and the shape of a target object. This study shows that the profile of the distance spectrum generated by the interference encodes not only the distance to the target, but also the distance to the edges of the target surface. To recognize the extent of the surface, a high-resolution distance spectrum is proposed, and a method to estimate the points on the edges by incorporating observations from multiple measurement is introduced. Numerical simulations validated the approach and showed that the method worked even in the presence of noise. Experimental results are also shown to verify that the method works in a real environment.https://www.frontiersin.org/articles/10.3389/frobt.2022.872964/fullrobot auditionobject recognitionecho locationstanding wavedistance spectrum |
| spellingShingle | Makoto Kumon Rikuto Fukunaga Tomoya Manabe Kei Nakatsuma Object Surface Recognition Based on Standing Waves in Acoustic Signals Frontiers in Robotics and AI robot audition object recognition echo location standing wave distance spectrum |
| title | Object Surface Recognition Based on Standing Waves in Acoustic Signals |
| title_full | Object Surface Recognition Based on Standing Waves in Acoustic Signals |
| title_fullStr | Object Surface Recognition Based on Standing Waves in Acoustic Signals |
| title_full_unstemmed | Object Surface Recognition Based on Standing Waves in Acoustic Signals |
| title_short | Object Surface Recognition Based on Standing Waves in Acoustic Signals |
| title_sort | object surface recognition based on standing waves in acoustic signals |
| topic | robot audition object recognition echo location standing wave distance spectrum |
| url | https://www.frontiersin.org/articles/10.3389/frobt.2022.872964/full |
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