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Neural Network based 3D Mapping Using Depth Image Camera

April 16, 2024

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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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