UNMANNED AERIAL VEHICLE SURVEYING FOR MONITORING ROAD CONSTRUCTION EARTHWORKS

被引:20
作者
Julge, Kalev [1 ,2 ]
Ellmann, Artu [1 ]
Kook, Romet [1 ]
机构
[1] Tallinn Univ Technol, Sch Engn, Dept Civil Engn & Architecture, Tallinn, Estonia
[2] Reach U AS, Tartu, Estonia
来源
BALTIC JOURNAL OF ROAD AND BRIDGE ENGINEERING | 2019年 / 14卷 / 01期
关键词
accuracy assessment; photogrammetry; road construction; surface models; unmanned aerial vehicle (UAV); UAV; PHOTOGRAMMETRY;
D O I
10.7250/bjrbe.2019-14.430
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Unmanned aerial vehicle photogrammetry is a surveying technique that enables generating point clouds, 3D surface models and orthophoto mosaics. These are based on photos captured with a camera placed on an unmanned aerial vehicle. Within the framework of this research, unmanned aerial vehicle photogrammetry surveys were carried out over a sand and gravel embankment with the aim of assessing the vertical accuracy of the derived surface models. Flight altitudes, ground control points and cameras were varied, and the impact of various factors on the results was monitored. In addition, the traditional real-time-kinematic Global Navigation Satellite System surveys were conducted for verifications. Surface models acquired by different methods were used to calculate volumes and compare the results with requirements set by Estonian Road Administration. It was found that with proper measuring techniques an accuracy of 5.7 cm for the heights were achieved.
引用
收藏
页码:1 / 17
页数:17
相关论文
共 19 条
  • [1] Barry P., 2013, International Archives of the Photogrammetry, Remote Sensing, V2, P27
  • [2] UAVs as remote sensing platform in glaciology: Present applications and future prospects
    Bhardwaj, Anshuman
    Sam, Lydia
    Akanksha
    Javier Martin-Torres, F.
    Kumar, Rajesh
    [J]. REMOTE SENSING OF ENVIRONMENT, 2016, 175 : 196 - 204
  • [3] Carrivick J.L., 2016, STRUCTURE MOTION GEO
  • [4] Open-pit mining geomorphic feature characterisation
    Chen, Jianping
    Li, Ke
    Chang, Kuo-Jen
    Sofia, Giulia
    Tarolli, Paolo
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2015, 42 : 76 - 86
  • [5] Unmanned aerial systems for photogrammetry and remote sensing: A review
    Colomina, I.
    Molina, P.
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2014, 92 : 79 - 97
  • [6] Estonian Road Administration, 2018, RIIG NR 2 TALL TART
  • [7] Analysis of Landslide Evolution Affecting Olive Groves Using UAV and Photogrammetric Techniques
    Fernandez, Tomas
    Luis Perez, Jose
    Cardenal, Javier
    Miguel Gomez, Jose
    Colomo, Carlos
    Delgado, Jorge
    [J]. REMOTE SENSING, 2016, 8 (10)
  • [8] Road Embankment Test Sections over Soft Peat Layer, Voobu, Estonia
    Forsman, Juha
    Dettenborn, Taavi
    Skepast, Peeter
    Mets, Mait
    Olep, Mattias
    Ellmann, Artu
    Vallas, Ivo
    Tonts, Taavi
    Kontson, Karli
    [J]. 13TH BALTIC SEA REGION GEOTECHNICAL CONFERENCE - HISTORICAL EXPERIENCE AND CHALLENGES OF GEOTECHNICAL PROBLEMS IN BALTIC SEA REGION, 2016, : 302 - 307
  • [9] INITIAL TESTS AND ACCURACY ASSESMENT OF A COMPACT MOBILE LASER SCANNING SYSTEM
    Julge, K.
    Ellmann, A.
    Vajakas, T.
    Kolka, R.
    [J]. XXIII ISPRS CONGRESS, COMMISSION I, 2016, 41 (B1): : 633 - 638
  • [10] Performance analysis of a compact and low-cost mapping-grade mobile laser scanning system
    Julge, Kalev
    Vajakas, Toivo
    Ellmann, Artu
    [J]. JOURNAL OF APPLIED REMOTE SENSING, 2017, 11