Available parking spaces detection with deep learning

Image semantic segmentation has made great process with deep learning in recent years. There are various applications that need efficient and accurate segmentation systems. Image semantic segmentation has been widely used in modern medicine, robotics, and especially in the autonomous vehicle systems...

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Main Author: Li, Xiaochen
Other Authors: Zhou Bin
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/75358
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-753582023-07-07T15:56:09Z Available parking spaces detection with deep learning Li, Xiaochen Zhou Bin Sugiri Huang Guangbin School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Image semantic segmentation has made great process with deep learning in recent years. There are various applications that need efficient and accurate segmentation systems. Image semantic segmentation has been widely used in modern medicine, robotics, and especially in the autonomous vehicle systems. An autonomous vehicle is a smart car that can sensing its surrounding environment and driving without human input, it is able to analysis the sensory data so that it can distinguish different objects such as cars and pedestrians on the road. With the great development and improvement of the Artificial Intelligence, we believe that automated driving will happen in the near future, and autonomous parking is a crucial step towards future autonomous driving. This report will give a study of the deep learning algorithms for image semantic segmentation of available parking spaces and CARLA Simulator. It will include a review of the basic principle, structure and design of the deep learning approach for image semantic segmentation, known as the Fully Convolutional Neural Networks model. Then it will show the training of the network and the results of the detection. The conclusion and the future works will be given in the end of the report. Bachelor of Engineering 2018-05-31T02:03:43Z 2018-05-31T02:03:43Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75358 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
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Li, Xiaochen
Available parking spaces detection with deep learning
description Image semantic segmentation has made great process with deep learning in recent years. There are various applications that need efficient and accurate segmentation systems. Image semantic segmentation has been widely used in modern medicine, robotics, and especially in the autonomous vehicle systems. An autonomous vehicle is a smart car that can sensing its surrounding environment and driving without human input, it is able to analysis the sensory data so that it can distinguish different objects such as cars and pedestrians on the road. With the great development and improvement of the Artificial Intelligence, we believe that automated driving will happen in the near future, and autonomous parking is a crucial step towards future autonomous driving. This report will give a study of the deep learning algorithms for image semantic segmentation of available parking spaces and CARLA Simulator. It will include a review of the basic principle, structure and design of the deep learning approach for image semantic segmentation, known as the Fully Convolutional Neural Networks model. Then it will show the training of the network and the results of the detection. The conclusion and the future works will be given in the end of the report.
author2 Zhou Bin
author_facet Zhou Bin
Li, Xiaochen
format Final Year Project
author Li, Xiaochen
author_sort Li, Xiaochen
title Available parking spaces detection with deep learning
title_short Available parking spaces detection with deep learning
title_full Available parking spaces detection with deep learning
title_fullStr Available parking spaces detection with deep learning
title_full_unstemmed Available parking spaces detection with deep learning
title_sort available parking spaces detection with deep learning
publishDate 2018
url http://hdl.handle.net/10356/75358
_version_ 1772826130049400832