Simulated Evaluation of Navigation System for Multi-quadrotor Coordination in Search and Rescue

Rayyan Muhammad Rafikh, Jeane Marina D’Souza

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many methods have been developed which assist in the localization of victims trapped in disaster-prone areas. Disaster management after the immediate onset of such sudden occurrences intimates readiness in technology, availability, accessibility, perception, training, evaluation, and deploy ability. This can be attained through evaluation and comparison of different techniques supplanting each other, essentially covering each aspect of the Search and Rescue operation. Developments by academia and industry have led to deep learning advancements like the use of Convolutional Neural Networks resulting in an increasing dependence of first responders on UAV technology fitted with state-of-the-art machines working with real-time information from various sensors. We have, in this paper, proposed a technique to implement a simulation involving detection of life in the immediate occurrence of disasters with the assistance of a deep learning model simultaneously deploying multi-quadrotor coordination among the vehicles with the use of an appropriate region-partitioning method to speed up the process even further. Moreover, other non-conventional techniques have also been discussed.

Original languageEnglish
Title of host publicationIntelligent Control, Robotics, and Industrial Automation - Proceedings of International Conference, RCAAI 2022
EditorsSanjay Sharma, Bidyadhar Subudhi, Umesh Kumar Sahu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages135-145
Number of pages11
ISBN (Print)9789819946334
DOIs
Publication statusPublished - 2023
EventInternational Conference on Robotics, Control, Automation and Artificial Intelligence, RCAAI 2022 - Virtual, Online
Duration: 24-11-202226-11-2022

Publication series

NameLecture Notes in Electrical Engineering
Volume1066 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Robotics, Control, Automation and Artificial Intelligence, RCAAI 2022
CityVirtual, Online
Period24-11-2226-11-22

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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