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Complete and Accurate Indoor Scene Capturing and Reconstruction Using a Drone and a Robot
- Source :
- IEEE Sensors Journal. 21:11858-11869
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- 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.
- Subjects :
- Computer science
business.industry
010401 analytical chemistry
3D reconstruction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Iterative reconstruction
Aerial video
01 natural sciences
Drone
0104 chemical sciences
Pipeline transport
Robustness (computer science)
Robot
Computer vision
Artificial intelligence
Electrical and Electronic Engineering
business
Instrumentation
ComputingMethodologies_COMPUTERGRAPHICS
Subjects
Details
- ISSN :
- 23799153 and 1530437X
- Volume :
- 21
- Database :
- OpenAIRE
- Journal :
- IEEE Sensors Journal
- Accession number :
- edsair.doi...........4ee0079e20e273ae90a407c0d99bafd1