Scene understanding for autonomous vehicles with deep learning

This project aimed to carry out algorithm which is able to generate semantic images and then fuse the semantic images with point cloud to obtain point cloud with semantic information for the scene understanding tasks. This project can be seen as a base for scene understanding task, which covers a...

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Main Author: Wang, Dongying
Other Authors: Wang Dan Wei
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2022
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Online Access:https://hdl.handle.net/10356/159406
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1594062023-07-04T17:45:02Z Scene understanding for autonomous vehicles with deep learning Wang, Dongying Wang Dan Wei School of Electrical and Electronic Engineering EDWWANG@ntu.edu.sg Engineering::Electrical and electronic engineering This project aimed to carry out algorithm which is able to generate semantic images and then fuse the semantic images with point cloud to obtain point cloud with semantic information for the scene understanding tasks. This project can be seen as a base for scene understanding task, which covers a wide range of data designing and processing work. First of all, labeling strategies designed for semantic segmentation aimed to help with scene understanding tasks have been carried out. In addition, for semantic information generation, a semantic segmentation network integrating attention mechanism and all MLP layers upsampling technique was applied. Finally, to get abundant information, the semantic images are fused with the point cloud using an algorithm based on robotics geometric projection theories. Master of Science (Computer Control and Automation) 2022-06-16T04:39:50Z 2022-06-16T04:39:50Z 2022 Thesis-Master by Coursework Wang, D. (2022). Scene understanding for autonomous vehicles with deep learning. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/159406 https://hdl.handle.net/10356/159406 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Wang, Dongying
Scene understanding for autonomous vehicles with deep learning
description This project aimed to carry out algorithm which is able to generate semantic images and then fuse the semantic images with point cloud to obtain point cloud with semantic information for the scene understanding tasks. This project can be seen as a base for scene understanding task, which covers a wide range of data designing and processing work. First of all, labeling strategies designed for semantic segmentation aimed to help with scene understanding tasks have been carried out. In addition, for semantic information generation, a semantic segmentation network integrating attention mechanism and all MLP layers upsampling technique was applied. Finally, to get abundant information, the semantic images are fused with the point cloud using an algorithm based on robotics geometric projection theories.
author2 Wang Dan Wei
author_facet Wang Dan Wei
Wang, Dongying
format Thesis-Master by Coursework
author Wang, Dongying
author_sort Wang, Dongying
title Scene understanding for autonomous vehicles with deep learning
title_short Scene understanding for autonomous vehicles with deep learning
title_full Scene understanding for autonomous vehicles with deep learning
title_fullStr Scene understanding for autonomous vehicles with deep learning
title_full_unstemmed Scene understanding for autonomous vehicles with deep learning
title_sort scene understanding for autonomous vehicles with deep learning
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/159406
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