Multirotor UAV-Based Photogrammetric Mapping for Road Design
Unmanned Aerial Vehicles (UAVs) can be used for close range mapping. In engineering survey works, the conventional survey involves huge cost, labour, and time. Low-cost UAVs are very practical in providing reliable information for many applications such as road design. UAVs can provide the output th...
Published in: | International Journal of Optics |
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Hindawi Limited
2018
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2-s2.0-85055530478 Zulkipli M.A.; Tahar K.N. Multirotor UAV-Based Photogrammetric Mapping for Road Design 2018 International Journal of Optics 2018 10.1155/2018/1871058 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055530478&doi=10.1155%2f2018%2f1871058&partnerID=40&md5=652e366367f718671914eaf2cbba4315 Unmanned Aerial Vehicles (UAVs) can be used for close range mapping. In engineering survey works, the conventional survey involves huge cost, labour, and time. Low-cost UAVs are very practical in providing reliable information for many applications such as road design. UAVs can provide the output that meets the accuracy of engineering surveys and policies, especially for small-scale mapping. UAVs are also a competitive technology which is stable and rapidly developing, same as other surveying technologies. This study investigates the performance of multirotor UAV for road design. This study involves four phases which consist of preliminary study, data collection, data processing, and analysis. This study focuses on the UAV as a tool to capture data of the ground from a certain altitude. The analysis includes UAV flight planning, image acquisition, and accuracy assessment of road design. It can be concluded that UAVs can be used to provide data for road design with reliable accuracy. © 2018 Muhammad Akmal Zulkipli and Khairul Nizam Tahar. Hindawi Limited 16879384 English Article All Open Access; Gold Open Access |
author |
Zulkipli M.A.; Tahar K.N. |
spellingShingle |
Zulkipli M.A.; Tahar K.N. Multirotor UAV-Based Photogrammetric Mapping for Road Design |
author_facet |
Zulkipli M.A.; Tahar K.N. |
author_sort |
Zulkipli M.A.; Tahar K.N. |
title |
Multirotor UAV-Based Photogrammetric Mapping for Road Design |
title_short |
Multirotor UAV-Based Photogrammetric Mapping for Road Design |
title_full |
Multirotor UAV-Based Photogrammetric Mapping for Road Design |
title_fullStr |
Multirotor UAV-Based Photogrammetric Mapping for Road Design |
title_full_unstemmed |
Multirotor UAV-Based Photogrammetric Mapping for Road Design |
title_sort |
Multirotor UAV-Based Photogrammetric Mapping for Road Design |
publishDate |
2018 |
container_title |
International Journal of Optics |
container_volume |
2018 |
container_issue |
|
doi_str_mv |
10.1155/2018/1871058 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055530478&doi=10.1155%2f2018%2f1871058&partnerID=40&md5=652e366367f718671914eaf2cbba4315 |
description |
Unmanned Aerial Vehicles (UAVs) can be used for close range mapping. In engineering survey works, the conventional survey involves huge cost, labour, and time. Low-cost UAVs are very practical in providing reliable information for many applications such as road design. UAVs can provide the output that meets the accuracy of engineering surveys and policies, especially for small-scale mapping. UAVs are also a competitive technology which is stable and rapidly developing, same as other surveying technologies. This study investigates the performance of multirotor UAV for road design. This study involves four phases which consist of preliminary study, data collection, data processing, and analysis. This study focuses on the UAV as a tool to capture data of the ground from a certain altitude. The analysis includes UAV flight planning, image acquisition, and accuracy assessment of road design. It can be concluded that UAVs can be used to provide data for road design with reliable accuracy. © 2018 Muhammad Akmal Zulkipli and Khairul Nizam Tahar. |
publisher |
Hindawi Limited |
issn |
16879384 |
language |
English |
format |
Article |
accesstype |
All Open Access; Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1812871800986533888 |