Image-based deep learning algorithm for coarse multi-robot localization

Multi-robot systems are of great importance for tasks that require more robust and faster operation. It can be applied to different scenarios such as search and rescue, modern agriculture, self-driving vehicles and more. The principle work is accurately locating each robot’s position in the global c...

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Main Author: Ye, Yingjian
Other Authors: Wang Dan Wei
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/78098
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-780982023-07-07T17:02:24Z Image-based deep learning algorithm for coarse multi-robot localization Ye, Yingjian Wang Dan Wei School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics Multi-robot systems are of great importance for tasks that require more robust and faster operation. It can be applied to different scenarios such as search and rescue, modern agriculture, self-driving vehicles and more. The principle work is accurately locating each robot’s position in the global coordinate frame, so that the map generated by each robot can be continuously fused together. In this paper, an approach on helping the principal researchers for collecting and pre-processing image data has been done. Furthermore, the author uses a convolutional neural network (CNN) architecture to train the model and correctly recognize locations under dynamic environment. Bachelor of Engineering (Computer Engineering) 2019-06-12T02:49:55Z 2019-06-12T02:49:55Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78098 en Nanyang Technological University 48 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Ye, Yingjian
Image-based deep learning algorithm for coarse multi-robot localization
description Multi-robot systems are of great importance for tasks that require more robust and faster operation. It can be applied to different scenarios such as search and rescue, modern agriculture, self-driving vehicles and more. The principle work is accurately locating each robot’s position in the global coordinate frame, so that the map generated by each robot can be continuously fused together. In this paper, an approach on helping the principal researchers for collecting and pre-processing image data has been done. Furthermore, the author uses a convolutional neural network (CNN) architecture to train the model and correctly recognize locations under dynamic environment.
author2 Wang Dan Wei
author_facet Wang Dan Wei
Ye, Yingjian
format Final Year Project
author Ye, Yingjian
author_sort Ye, Yingjian
title Image-based deep learning algorithm for coarse multi-robot localization
title_short Image-based deep learning algorithm for coarse multi-robot localization
title_full Image-based deep learning algorithm for coarse multi-robot localization
title_fullStr Image-based deep learning algorithm for coarse multi-robot localization
title_full_unstemmed Image-based deep learning algorithm for coarse multi-robot localization
title_sort image-based deep learning algorithm for coarse multi-robot localization
publishDate 2019
url http://hdl.handle.net/10356/78098
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