Demo abstract: ALPS - The acoustic location processing system

  • Patrick Lazik
  • , Niranjini Rajagopal
  • , Oliver Shih
  • , Bruno Sinopoli
  • , Anthony Rowe

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

We demonstrate ALPS [1], a platform that augments BLE proximity beacons with ultrasonic transmitters in a manner that allows for precise and robust indoor localization. ALPS uses Time-Difference-Of-Arrival (TDOA) and Time-Of-Flight (TOF) ranging to accurately localize mobile devices such as off-the-shelf smartphones and tablets in 2D space. Users inside the demo area will be able to determine their location and can directly plot it relatively to a map of the area using our app on a smartphone. Once a receiving device has determined its initial position, it can synchronize its audio clock with the transmission infrastructure to perform TOF-based localization, which provides similar position accuracy to TDOA-based localization with fewer beacons. Multilateration and trilateration processing for each device's location is offloaded onto a cloud-based solver that can provide localization as a service to ALPS and similar TOF/TDOA-based systems.

Original languageEnglish
Title of host publicationSenSys 2015 - Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems
PublisherAssociation for Computing Machinery, Inc
Pages491-492
Number of pages2
ISBN (Electronic)9781450336314
DOIs
StatePublished - Nov 1 2015
Event13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015 - Seoul, Korea, Republic of
Duration: Nov 1 2015Nov 4 2015

Publication series

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

Conference

Conference13th ACM Conference on Embedded Networked Sensor Systems, SenSys 2015
Country/TerritoryKorea, Republic of
CitySeoul
Period11/1/1511/4/15

Fingerprint

Dive into the research topics of 'Demo abstract: ALPS - The acoustic location processing system'. Together they form a unique fingerprint.

Cite this