Poster abstract: Asynchronous acoustic localization using commercial devices

Jongtack Jung; Kangho Kim; Woonghee Lee; Hwangnam Kim

doi:10.1145/2809695.2817880

Poster abstract: Asynchronous acoustic localization using commercial devices

Jongtack Jung, Kangho Kim, Woonghee Lee, Hwangnam Kim

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

In this paper, we design and implement an asynchronous multi-device acoustic localization system. Although the relative position and distance can be useful to many applications such as drone swarming, not much research has been conducted on the field. As synchronizing multiple devices can be difficult or even impossible with certain hardware, we devised an asynchronous algorithm that provides a high accuracy ranging and localization. A high performance ranging and localization technique that uses a relatively minor source, sound, can provide a new set of characteristics. Our proposed algorithm can work on most commercial devices that have acoustic capabilities.

Original language	English
Title of host publication	SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems
Publisher	Association for Computing Machinery, Inc
Pages	393-394
Number of pages	2
ISBN (Print)	9781450336314
DOIs	https://doi.org/10.1145/2809695.2817880
Publication status	Published - 2015 Nov 1
Event	13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015 - Seoul, Korea, Republic of Duration: 2015 Nov 1 → 2015 Nov 4

Other

Other	13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015
Country/Territory	Korea, Republic of
City	Seoul
Period	15/11/1 → 15/11/4

Keywords

Acoustic ranging
Localization
Synchronization

ASJC Scopus subject areas

Control and Systems Engineering
Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1145/2809695.2817880

Cite this

Jung, J, Kim, K, Lee, W & Kim, H 2015, Poster abstract: Asynchronous acoustic localization using commercial devices. in SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems. Association for Computing Machinery, Inc, pp. 393-394, 13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015, Seoul, Korea, Republic of, 15/11/1. https://doi.org/10.1145/2809695.2817880

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title = "Poster abstract: Asynchronous acoustic localization using commercial devices",

abstract = "In this paper, we design and implement an asynchronous multi-device acoustic localization system. Although the relative position and distance can be useful to many applications such as drone swarming, not much research has been conducted on the field. As synchronizing multiple devices can be difficult or even impossible with certain hardware, we devised an asynchronous algorithm that provides a high accuracy ranging and localization. A high performance ranging and localization technique that uses a relatively minor source, sound, can provide a new set of characteristics. Our proposed algorithm can work on most commercial devices that have acoustic capabilities.",

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author = "Jongtack Jung and Kangho Kim and Woonghee Lee and Hwangnam Kim",

year = "2015",

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doi = "10.1145/2809695.2817880",

language = "English",

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booktitle = "SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems",

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note = "13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015 ; Conference date: 01-11-2015 Through 04-11-2015",

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PY - 2015/11/1

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N2 - In this paper, we design and implement an asynchronous multi-device acoustic localization system. Although the relative position and distance can be useful to many applications such as drone swarming, not much research has been conducted on the field. As synchronizing multiple devices can be difficult or even impossible with certain hardware, we devised an asynchronous algorithm that provides a high accuracy ranging and localization. A high performance ranging and localization technique that uses a relatively minor source, sound, can provide a new set of characteristics. Our proposed algorithm can work on most commercial devices that have acoustic capabilities.

AB - In this paper, we design and implement an asynchronous multi-device acoustic localization system. Although the relative position and distance can be useful to many applications such as drone swarming, not much research has been conducted on the field. As synchronizing multiple devices can be difficult or even impossible with certain hardware, we devised an asynchronous algorithm that provides a high accuracy ranging and localization. A high performance ranging and localization technique that uses a relatively minor source, sound, can provide a new set of characteristics. Our proposed algorithm can work on most commercial devices that have acoustic capabilities.

KW - Acoustic ranging

KW - Localization

KW - Synchronization

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M3 - Conference contribution

AN - SCOPUS:84962812142

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EP - 394

BT - SenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems

PB - Association for Computing Machinery, Inc

Y2 - 1 November 2015 through 4 November 2015

ER -

Poster abstract: Asynchronous acoustic localization using commercial devices

Abstract

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Keywords

ASJC Scopus subject areas

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