Autonomous precision landing of UAV digital twins on moving platforms and river data analytics from UAV imagery
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
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| Langue: | English |
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Brac University
2023
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| Accès en ligne: | http://hdl.handle.net/10361/21839 |
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10361-218392023-10-16T21:04:29Z Autonomous precision landing of UAV digital twins on moving platforms and river data analytics from UAV imagery Ashrafi, Rezwana Uddin, Jahir Rafi, Suhail Haque Raidah, Mashiat Mamun Rhaman, Md. Khalilur Alam, Md. Golam Rabiul Department of Computer Science and Engineering, Brac University UAV Digital twin Precision landing Mapping Trash trap AI River image processing Remote sensing Automotive engineering This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 35-37). UAVs have ignited our curiosity to understand the mechanism of flying and improve the way these vehicles fly to enable them to be of great benefit in a variety of ap-plications such as exploration, rescue, 3D mapping, military use, and many other applications. But these applications of drones face limitations due to short battery life, human interventions necessary to replace the battery, power consumption, and communication distance. The purpose of our research is to mitigate the challenges faced by UAVs by proposing an autonomous quadcopter that is able to land pre-cisely on a wireless charging station placed on a moving vehicle by motion tracking algorithm and increasing the accuracy of Helipad Detection and a Gazebo simulator capable of modelling an air traffic system for a swarm of drones by combining sensor values and control movement from the environment, as well as specifying the traffic system through path planning and collision avoidance. This study solves the short flight time of the soon to become one of the main components of the urban infrastructure air traffic system and ensures the variety of applications of these drones to be carried on for a safer and longer period of time and without any hazard. Aside from that, we will concentrate on factors such as water surface analysis, where we will look for water garbage in rivers and ocean bodies in Bangladesh. Rezwana Ashrafi Jahir Uddin Suhail Haque Rafi Mashiat Mamun Raidah B.Sc. in Computer Science and Engineering 2023-10-16T05:54:19Z 2023-10-16T05:54:19Z ©2022 2022-09-28 Thesis ID 17201043 ID 22341091 ID 18201004 ID 18101359 http://hdl.handle.net/10361/21839 en Brac University theses 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. 48 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
UAV Digital twin Precision landing Mapping Trash trap AI River image processing Remote sensing Automotive engineering |
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UAV Digital twin Precision landing Mapping Trash trap AI River image processing Remote sensing Automotive engineering Ashrafi, Rezwana Uddin, Jahir Rafi, Suhail Haque Raidah, Mashiat Mamun Autonomous precision landing of UAV digital twins on moving platforms and river data analytics from UAV imagery |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. |
| author2 |
Rhaman, Md. Khalilur |
| author_facet |
Rhaman, Md. Khalilur Ashrafi, Rezwana Uddin, Jahir Rafi, Suhail Haque Raidah, Mashiat Mamun |
| format |
Thesis |
| author |
Ashrafi, Rezwana Uddin, Jahir Rafi, Suhail Haque Raidah, Mashiat Mamun |
| author_sort |
Ashrafi, Rezwana |
| title |
Autonomous precision landing of UAV digital twins on moving platforms and river data analytics from UAV imagery |
| title_short |
Autonomous precision landing of UAV digital twins on moving platforms and river data analytics from UAV imagery |
| title_full |
Autonomous precision landing of UAV digital twins on moving platforms and river data analytics from UAV imagery |
| title_fullStr |
Autonomous precision landing of UAV digital twins on moving platforms and river data analytics from UAV imagery |
| title_full_unstemmed |
Autonomous precision landing of UAV digital twins on moving platforms and river data analytics from UAV imagery |
| title_sort |
autonomous precision landing of uav digital twins on moving platforms and river data analytics from uav imagery |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/21839 |
| work_keys_str_mv |
AT ashrafirezwana autonomousprecisionlandingofuavdigitaltwinsonmovingplatformsandriverdataanalyticsfromuavimagery AT uddinjahir autonomousprecisionlandingofuavdigitaltwinsonmovingplatformsandriverdataanalyticsfromuavimagery AT rafisuhailhaque autonomousprecisionlandingofuavdigitaltwinsonmovingplatformsandriverdataanalyticsfromuavimagery AT raidahmashiatmamun autonomousprecisionlandingofuavdigitaltwinsonmovingplatformsandriverdataanalyticsfromuavimagery |
| _version_ |
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