GuideSwarm: A Drone Network Design to Assist Visually Impaired People

Görkem Sakarya*, Talip Tolga Sari, Gökhan Seçinti

*Corresponding author for this work

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

Abstract

Today, most of the metropolitan areas lack necessary infrastructure to guide visually impaired people. Even with an existing infrastructure, it is nearly impossible to ensure the safety of visually impaired people in dense/crowded urban areas. In this paper, we propose aerial swarm framework, namely GuideSwarm, cooperatively utilizing multiple drones to provide assistance to visually impaired people in crowded urban environments. In this manner, GuideSwarm first formally structures allocation and scheduling problems by defining different sets of assistance missions. Then, we form an optimization problem with the objective of minimizing average waiting time for the users and propose a heuristic method solving the defined optimization in O(n2 ) time complexity. Compared to the greedy approaches, our solution provides 19% less waiting time for users demanding assistance.

Original languageEnglish
Title of host publicationSmart Objects and Technologies for Social Good - 7th EAI International Conference, GOODTECHS 2021, Proceedings
EditorsIvan Miguel Pires, Susanna Spinsante, Eftim Zdravevski, Petre Lameski
PublisherSpringer Science and Business Media Deutschland GmbH
Pages139-152
Number of pages14
ISBN (Print)9783030914202
DOIs
Publication statusPublished - 2021
Event7th EAI International Conference on Smart Objects and Technologies for social Good, GOODTECHS 2021 - Virtual Online
Duration: 15 Sept 202117 Sept 2021

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume401 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference7th EAI International Conference on Smart Objects and Technologies for social Good, GOODTECHS 2021
CityVirtual Online
Period15/09/2117/09/21

Bibliographical note

Publisher Copyright:
© 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Keywords

  • Task scheduling
  • UAV
  • Visually impaired

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