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Autonomous aerial survey platform

dc.contributor.advisorHuda, A.S. Nazmul
dc.contributor.advisorTaz, Nahid Hossain
dc.contributor.advisorShams, Sharif Mohd
dc.contributor.authorKowshik, Md.
dc.contributor.authorNabil, Sultanul Arefin
dc.contributor.authorBushra, Mushfeka Anika
dc.contributor.authorShawn, Al Hossain
dc.contributor.departmentDepartment of Electrical and Electronic Engineering
dc.date.accessioned2026-04-20T04:37:11Z
dc.date.available2026-04-20T04:37:11Z
dc.date.copyright2026
dc.date.issued2026-01
dc.descriptionCataloged from PDF version of final year design project.
dc.descriptionIncludes bibliographical references (page 239-246).
dc.descriptionThis final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2026.en_US
dc.description.abstractThe project explores the concept of developing an autonomous aerial survey drone with the ability to conduct an efficient and high-resolution survey using a minimum level of human involvement. The system combines with powerful navigation and mission planning algorithms to provide feasible information gathering across various terrains. The drone can operate according to predefined survey patterns, dynamic environments. It can autonomously control data collection, storage and transmission using onboard real time optimization for post processing. The results of the survey are anonymized imagery and multi sensor data that can be used in surveying and fast evaluation in fields like agriculture, infrastructure inspection, disaster response and environmental monitoring. The project focuses on safety, reliability, and scalability. Whereby the survey operations can be repeated at a low cost and used in decision support and continuous monitoring.en_US
dc.description.degreeB.Sc. in Electrical and Electronic Engineering
dc.description.statementofresponsibilityMd. Kowshik
dc.description.statementofresponsibilitySultanul Arefin Nabil
dc.description.statementofresponsibilityMushfeka Anika Bushra
dc.description.statementofresponsibilityAl Hossain Shawn
dc.format.extent347 pages
dc.identifier.otherID 20121020
dc.identifier.otherID 20221030
dc.identifier.otherID 21321070
dc.identifier.otherID 22121073
dc.identifier.urihttp://hdl.handle.net/10361/27955
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectAutomated data acquisitionen_US
dc.subjectDeep learningen_US
dc.subjectOperational securityen_US
dc.subjectAutomation.en_US
dc.subjectComputer visionen_US
dc.subject.lcshDeep learning (Machine learning).
dc.subject.lcshAutomatic data collection systems.
dc.titleAutonomous aerial survey platformen_US
dc.typeProject Reporten_US

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