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Monocular 3D mesh prediction for cars in autonomous driving scenarios
dc.contributor | Fidler, Sanja |
dc.contributor | Giró Nieto, Xavier |
dc.contributor.author | Guisado Bandrés, Eric |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.coverage.spatial | east=-79.3894224; north=43.65935329999999; name=651 University Ave, Toronto, ON M5G 1M1, Canadà |
dc.date.accessioned | 2019-09-27T10:36:08Z |
dc.date.available | 2019-09-27T10:36:08Z |
dc.date.issued | 2019-04-26 |
dc.identifier.uri | http://hdl.handle.net/2117/168806 |
dc.description.abstract | In the context of autonomous driving cars, a necessity for precise 3D reconstructions of the road and environment is every day more explicit. The present work aims to expose an approach for reconstructing vehicles from a single (RGB) image of a road-like scenario. It is based on previous 3D mesh prediction algorithms that mix Convolutional Neural Network architectures for feature extraction with Graph Convolutional Networks. We build our own dataset and train our model to predict 3D meshes, providing the network with a single RGB image of a car and a 3D bounding box. We reveal how this method recovers precisely most of the geometric details of a car as well as shows successful levels of accuracy. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
dc.subject.lcsh | Automobile driving |
dc.subject.lcsh | Autonomous driving |
dc.subject.lcsh | Computer vision |
dc.subject.other | Machine learning |
dc.subject.other | Deep learning |
dc.subject.other | Computer vision |
dc.subject.other | Autonomous driving |
dc.subject.other | 3D shape generation |
dc.subject.other | Graph convolutional network |
dc.subject.other | Mesh reconstruction |
dc.title | Monocular 3D mesh prediction for cars in autonomous driving scenarios |
dc.type | Bachelor thesis |
dc.subject.lemac | Automòbils -- Conducció |
dc.identifier.slug | PRISMA-139005 |
dc.rights.access | Open Access |
dc.date.updated | 2019-07-18T13:21:44Z |
dc.audience.educationlevel | Grau |
dc.audience.mediator | Universitat Politècnica de Catalunya. Centre de Formació Interdisciplinària Superior |
dc.audience.mediator | Universitat Politècnica de Catalunya. Facultat de Matemàtiques i Estadística |
dc.audience.mediator | Escola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona |
dc.audience.degree | GRAU EN ENGINYERIA FÍSICA/GRAU EN MATEMÀTIQUES |
dc.contributor.covenantee | University of Toronto. Vector Institute |
dc.description.mobility | Outgoing |
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Grau en Enginyeria Física + Grau en Matemàtiques [60]
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