Ultralight aircraft and conventional digital cameras as an alternative for urban mapping

Román Edén Parra-Galaviz , Manuel de Jesús Pérez-Valdez , Omar Llanes-Cárdenas , Lennin Enrique Amador-Castro , Rafael Macías-Segura , Ciro de la Concepción Díaz-Hernández , Alberto Gaxiola
{"title":"Ultralight aircraft and conventional digital cameras as an alternative for urban mapping","authors":"Román Edén Parra-Galaviz ,&nbsp;Manuel de Jesús Pérez-Valdez ,&nbsp;Omar Llanes-Cárdenas ,&nbsp;Lennin Enrique Amador-Castro ,&nbsp;Rafael Macías-Segura ,&nbsp;Ciro de la Concepción Díaz-Hernández ,&nbsp;Alberto Gaxiola","doi":"10.1016/j.trip.2025.101339","DOIUrl":null,"url":null,"abstract":"<div><div>Mapping plays a crucial role in urban planning by assisting authorities in making informed decisions regarding city growth and infrastructure placement. Unmanned Aerial Vehicles (UAVs) are employed extensively for this purpose, owing to their ease of operation and advanced georeferencing capabilities facilitated by integrated cameras coupled with Global Navigation Satellite System (GNSS) devices. However, some drawbacks have been identified, such as limited battery life, strict airspace regulations, and difficulties in mapping extensive territories due to the need for numerous takeoffs. Also, planes adapted with photogrammetric cameras are costly and bulky. On the other hand, Ultralight aircraft (ULAC) and Conventional Digital Cameras (CDC) are accessible devices. In this sense, this research explores ULACs coupled with CDCs as a low-cost alternative. A 70 km<sup>2</sup> city was mapped using a conventional 39-megapixel camera mounted on a ULAC at 1000 m altitude to validate these tools. Digital processing yielded a ground resolution of 19.7 cm/pixel and root mean square errors (RMSE) of 32 cm in planimetry and 25 cm in altimetry.</div><div>Additionally, the calibration parameters of the camera used were obtained. ULACs equipped with CDCs showed quality results and precision comparable to those obtained in surveys with photogrammetric cameras and UAV technology. This was validated as a low-cost, valuable tool for municipal authorities in small to medium-sized cities, where resources are often more limited than in larger cities.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"29 ","pages":"Article 101339"},"PeriodicalIF":3.8000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Interdisciplinary Perspectives","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590198225000181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0

Abstract

Mapping plays a crucial role in urban planning by assisting authorities in making informed decisions regarding city growth and infrastructure placement. Unmanned Aerial Vehicles (UAVs) are employed extensively for this purpose, owing to their ease of operation and advanced georeferencing capabilities facilitated by integrated cameras coupled with Global Navigation Satellite System (GNSS) devices. However, some drawbacks have been identified, such as limited battery life, strict airspace regulations, and difficulties in mapping extensive territories due to the need for numerous takeoffs. Also, planes adapted with photogrammetric cameras are costly and bulky. On the other hand, Ultralight aircraft (ULAC) and Conventional Digital Cameras (CDC) are accessible devices. In this sense, this research explores ULACs coupled with CDCs as a low-cost alternative. A 70 km2 city was mapped using a conventional 39-megapixel camera mounted on a ULAC at 1000 m altitude to validate these tools. Digital processing yielded a ground resolution of 19.7 cm/pixel and root mean square errors (RMSE) of 32 cm in planimetry and 25 cm in altimetry.
Additionally, the calibration parameters of the camera used were obtained. ULACs equipped with CDCs showed quality results and precision comparable to those obtained in surveys with photogrammetric cameras and UAV technology. This was validated as a low-cost, valuable tool for municipal authorities in small to medium-sized cities, where resources are often more limited than in larger cities.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
超轻型飞机和传统数码相机作为城市测绘的替代方案
测绘在城市规划中发挥着至关重要的作用,有助于当局就城市发展和基础设施布局做出明智的决策。无人驾驶飞行器(uav)被广泛用于这一目的,因为它们易于操作和先进的地理参考能力,通过与全球导航卫星系统(GNSS)设备相结合的集成摄像机提供了便利。然而,也发现了一些缺点,例如电池寿命有限,严格的空域规定,以及由于需要多次起飞而难以绘制广泛的区域。此外,装有摄影测量相机的飞机既昂贵又笨重。另一方面,超轻型飞机(ULAC)和传统数码相机(CDC)是可访问的设备。从这个意义上说,本研究探索了ulac与cdc结合作为低成本替代方案。使用安装在海拔1000米的ULAC上的传统3900万像素摄像机绘制了一个70平方公里的城市地图,以验证这些工具。数字处理的地面分辨率为19.7 cm/pixel,平面测量的均方根误差(RMSE)为32 cm,高度测量的RMSE为25 cm。此外,还得到了所用摄像机的标定参数。配备cdc的ulac显示出与使用摄影测量相机和无人机技术的调查所获得的质量和精度相当。对于资源往往比大城市更有限的中小型城市市政当局来说,这是一种低成本、有价值的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Transportation Research Interdisciplinary Perspectives
Transportation Research Interdisciplinary Perspectives Engineering-Automotive Engineering
CiteScore
12.90
自引率
0.00%
发文量
185
审稿时长
22 weeks
期刊最新文献
Probing urban road network congestion propagation and dissipation Groundwork for adolescent bikeability assessment in Germany: An open GIS and regularised regression approach across cities, towns and rural areas Predicting pedestrian crash risk around bus stops: A multi-city random forest approach From work environment to roadway: A narrative review on organizational psychology’s role in road safety A network-based framework for interplanetary logistics governance: organizational resilience and technological cooperation in space missions
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1