Complete and Accurate Indoor Scene Capturing and Reconstruction Using a Drone and a Robot

被引:7
作者
Gao, Xiang [1 ]
Zhu, Lingjie [2 ,3 ]
Cui, Hainan [2 ,3 ]
Hu, Zhanyi [2 ,3 ]
Liu, Hongmin [4 ]
Shen, Shuhan [2 ,3 ]
机构
[1] Ocean Univ China, Coll Engn, Qingdao 266100, Peoples R China
[2] Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
[3] Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
[4] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
基金
美国国家科学基金会;
关键词
Image reconstruction; Cameras; Robot vision systems; Drones; Pipelines; Robot localization; Indoor scene capturing and reconstruction; drone-robot cooperation; aerial map construction; ground robot localization; ground-to-aerial image merging; ENERGY MINIMIZATION; EFFICIENT; MOTION;
D O I
10.1109/JSEN.2020.3024702
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Completeness and accuracy are two important factors in image-based indoor scene 3D reconstruction. Thus, an efficient image capturing scheme that could completely cover the scene, and a robust reconstruction method that could accurately reconstruct the scene are required. To this end, in this article we propose a new pipeline for indoor scene capturing and reconstruction using a mini drone and a ground robot, which takes both capturing completeness and reconstruction accuracy into consideration. First, we use a mini drone to capture aerial video of the indoor scene, from which a 3D aerial map is reconstructed. Then, the robot moving path is planned and a set of ground-view reference images are synthesized from the aerial map. After that, the robot enters the scene and captures ground video autonomously while using the reference images to locate its position during the movement. Finally, the ground and aerial images, which are adaptively extracted from the captured videos, are merged to reconstruct a complete and accurate indoor scene model. Experimental results on two indoor scenes demonstrate the effectiveness and robustness of our proposed indoor scene capturing and reconstruction pipeline.
引用
收藏
页码:11858 / 11869
页数:12
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