Virtual reality web application for automotive data visualization
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/10216/128966 |
Resumo: | Nowadays, the automotive industry is one of the largest and continuously ongoing economic sectors in the world. Countless companies need and look for autonomous driving data to learn and test when creating new motor vehicles. Autonomous driving will play a big role in the future, and we can help continue its constant growth with with data visualization applications that display results of automotive experiments. Currently, there's an application in Altran, to visualize autonomous driving data online using WebGL. However, the showcasing of the elements and the sequence in 3D is confusing and not comprehensible enough, like it would be while using virtual reality. This happens as a result of the elements being displayed as lines according to their distance between the objects and the ground, instead of their real shapes. Since the data infrastructure can contain an abundant size of elements, like point-clouds and trajectories, the visualization of this data will be displayed more efficaciously, using virtual reality techniques. This will also complement the current large variety of tools concerning automotive demonstration in Altran, contributing to related public presentations in the company. To strengthen this 3D data visualization, this project aims to create a VR application that displays autonomous driving data. The compatibility between WebGL and WebXR will be tested, and in case this proves successful, the current structure of the application mentioned above will be reused. Besides being able to show the necessary automotive data, this new virtual reality structure, should maintain the functionalities of the WebGL application and contain extra features, like supporting different types of point-clouds and loading data from multiple sources. The usability of the Virtual Reality devices and its performance will also be evaluated, as well a comparison between the WebGL application. |
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Virtual reality web application for automotive data visualizationEngenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringNowadays, the automotive industry is one of the largest and continuously ongoing economic sectors in the world. Countless companies need and look for autonomous driving data to learn and test when creating new motor vehicles. Autonomous driving will play a big role in the future, and we can help continue its constant growth with with data visualization applications that display results of automotive experiments. Currently, there's an application in Altran, to visualize autonomous driving data online using WebGL. However, the showcasing of the elements and the sequence in 3D is confusing and not comprehensible enough, like it would be while using virtual reality. This happens as a result of the elements being displayed as lines according to their distance between the objects and the ground, instead of their real shapes. Since the data infrastructure can contain an abundant size of elements, like point-clouds and trajectories, the visualization of this data will be displayed more efficaciously, using virtual reality techniques. This will also complement the current large variety of tools concerning automotive demonstration in Altran, contributing to related public presentations in the company. To strengthen this 3D data visualization, this project aims to create a VR application that displays autonomous driving data. The compatibility between WebGL and WebXR will be tested, and in case this proves successful, the current structure of the application mentioned above will be reused. Besides being able to show the necessary automotive data, this new virtual reality structure, should maintain the functionalities of the WebGL application and contain extra features, like supporting different types of point-clouds and loading data from multiple sources. The usability of the Virtual Reality devices and its performance will also be evaluated, as well a comparison between the WebGL application.2020-07-282020-07-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/10216/128966TID:202826244engTomás Sousa Oliveirainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T16:04:57Zoai:repositorio-aberto.up.pt:10216/128966Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:37:35.548476Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Virtual reality web application for automotive data visualization |
title |
Virtual reality web application for automotive data visualization |
spellingShingle |
Virtual reality web application for automotive data visualization Tomás Sousa Oliveira Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
title_short |
Virtual reality web application for automotive data visualization |
title_full |
Virtual reality web application for automotive data visualization |
title_fullStr |
Virtual reality web application for automotive data visualization |
title_full_unstemmed |
Virtual reality web application for automotive data visualization |
title_sort |
Virtual reality web application for automotive data visualization |
author |
Tomás Sousa Oliveira |
author_facet |
Tomás Sousa Oliveira |
author_role |
author |
dc.contributor.author.fl_str_mv |
Tomás Sousa Oliveira |
dc.subject.por.fl_str_mv |
Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
topic |
Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
description |
Nowadays, the automotive industry is one of the largest and continuously ongoing economic sectors in the world. Countless companies need and look for autonomous driving data to learn and test when creating new motor vehicles. Autonomous driving will play a big role in the future, and we can help continue its constant growth with with data visualization applications that display results of automotive experiments. Currently, there's an application in Altran, to visualize autonomous driving data online using WebGL. However, the showcasing of the elements and the sequence in 3D is confusing and not comprehensible enough, like it would be while using virtual reality. This happens as a result of the elements being displayed as lines according to their distance between the objects and the ground, instead of their real shapes. Since the data infrastructure can contain an abundant size of elements, like point-clouds and trajectories, the visualization of this data will be displayed more efficaciously, using virtual reality techniques. This will also complement the current large variety of tools concerning automotive demonstration in Altran, contributing to related public presentations in the company. To strengthen this 3D data visualization, this project aims to create a VR application that displays autonomous driving data. The compatibility between WebGL and WebXR will be tested, and in case this proves successful, the current structure of the application mentioned above will be reused. Besides being able to show the necessary automotive data, this new virtual reality structure, should maintain the functionalities of the WebGL application and contain extra features, like supporting different types of point-clouds and loading data from multiple sources. The usability of the Virtual Reality devices and its performance will also be evaluated, as well a comparison between the WebGL application. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07-28 2020-07-28T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/128966 TID:202826244 |
url |
https://hdl.handle.net/10216/128966 |
identifier_str_mv |
TID:202826244 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799136283121942528 |