3D Mapping System Estimated from 2D for Low-Cost Devices
2019 7th International Engineering, Sciences and Technology Conference (IESTEC)(2019)
摘要
Currently, advances in the field of deep learning have made it possible to make improvements in terms of computer vision. This work proposes a system capable of implementing convolutional neural networks that estimate depth together with SLAM techniques to build three-dimensional environments with low-cost devices that can be applied in various tasks that require specific 3D maps.
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关键词
Computer Vision,Deep Learning,SLAM
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