Open AccessResearch on UAV Oblique Photography Route Planning in the Investigation of Building Damage after the Earthquake
Author(s) -
Xianzhou Cheng,
Jiasi Lin,
XingMing Zhao,
Shuang Xiao
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/783/1/012081
Subject(s) - photography , drone , oblique case , computer science , tilt (camera) , computer vision , key (lock) , feature (linguistics) , aerial photography , cluster analysis , artificial intelligence , engineering , remote sensing , geology , structural engineering , computer security , art , linguistics , visual arts , biology , philosophy , genetics
The post-earthquake building damage investigation is an important part of the earthquake emergency rescue work. It is a prerequisite for the ability to determine the location of the buried people and rescue the victims in the shortest time. Therefore, the timeliness of the post-earthquake building survey is a significant factor. The 3D reconstruction model of buildings based on UAV tilt photography has the advantages of multi-angle and three-dimensional, but it is too time-consuming. Therefore, this paper proposes a UAV tilt photography route planning algorithm. This algorithm improves the efficiency of the three-dimensional reconstruction of the building and saves valuable time for emergency rescue work. The algorithm requires two drone flights. During the first flight, the drone flies horizontally to get the aircraft POS data. With the POS data, the corresponding feature points on the ground will be obtained. According to the clustering of the feature points, the building oblique photography path planning area will be generated. Finally a reasonable drone route planning will be produced. During the second flight, the flight route generated by the algorithm was used to take oblique photography of the building to produce a three-dimensional reconstruction model. The final building model will be obtained based on the combination of the models obtained from the two flights. After contrast experiments with traditional oblique photography, the algorithm in this paper is significantly superior to the traditional oblique photography method in terms of building 3D reconstruction efficiency.