Research on 3D Scene Modeling Based on UAV and LIDAR

Authors

Zhang Hang, College of Information System and Management, National University of Defense Technology, Changsha 410073, China;
Bin Chen, College of Information System and Management, National University of Defense Technology, Changsha 410073, China;
Hanzhang Xue, College of Information System and Management, National University of Defense Technology, Changsha 410073, China;
Zhengqiu Zhu, College of Information System and Management, National University of Defense Technology, Changsha 410073, China;
Rongxiao Wang, College of Information System and Management, National University of Defense Technology, Changsha 410073, China;

Abstract

Abstract: Simulation is a significant method of emergency management research which demands the digital data of real scenes. Hardware was integrated to design the air borne point cloud data acquisition platform by using UAV as carrier, picking up the laser radar, IMU, etc. Furthermore, the platform was used to collect point cloud data and SLAM algorithm was used to establish real-time point cloud map. Moreover, point cloud map was utilized to establish 3D model. The problem of real scene 3D model construction was solved, designing and realizing point cloud processing and 3D modeling software, and a lot of experiments were carried out to verify the algorithm and software.

Recommended Citation

Hang, Zhang; Chen, Bin; Xue, Hanzhang; Zhu, Zhengqiu; and Wang, Rongxiao (2020) "Research on 3D Scene Modeling Based on UAV and LIDAR," Journal of System Simulation: Vol. 29: Iss. 9, Article 6.
DOI: 10.16182/j.issn1004731x.joss.201709006
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss9/6

First Page

1914

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201709006

Last Page

1920

CLC

TP391.9

Recommended Citation

Zhang Hang, Chen Bin, Xue Hanzhang, Zhu Zhengqiu, Wang Rongxiao. Research on 3D Scene Modeling Based on UAV and LIDAR[J]. Journal of System Simulation, 2017, 29(9): 1914-1920.

DOI

10.16182/j.issn1004731x.joss.201709006