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Neural Network based 3D Mapping Using Depth Image Camera
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Authors: Tran Duc Dung; Genci Capi
Comments: Accepted at the Conference PACLIC 2020
Abstract: Mapping is a crucial task for robot navigation. Especially, in order to develop a fully autonomous robot that can interact well with human, the map is not only required to contain geometry but also the semantic contents. Building a detailed map of the environment, makes it easy for the robot complete its mission. In this paper, we propose a method for environment 3D map building using the depth image camera. A Feed-Forward neural network is trained to convert the depth image into real-world coordination. The results show good performance of the proposed algorithm.Published: 6/29/2020
Published in 2020 International Conference on Image Processing and Robotics (ICIP)
Date of Conference
6-8 March 2020
DOI 10.1109/ICIP48927.2020.9367338
Publisher: IEEE
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