To access the full text documents, please follow this link: http://hdl.handle.net/2117/114169
dc.contributor | Béjar Alonso, Javier |
---|---|
dc.contributor.author | Chandrakaladharan, Shreyas |
dc.date | 2017-06-21 |
dc.identifier.citation | 128294 |
dc.identifier.uri | http://hdl.handle.net/2117/114169 |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject | Neural networks (Computer science) |
dc.subject | Raspberry Pi (Computer) |
dc.subject | Machine learning |
dc.subject | Traffic |
dc.subject | Convolutional Neural Networks |
dc.subject | Xarxes neuronals (Informàtica) |
dc.subject | Raspberry Pi (Ordinador) |
dc.subject | Aprenentatge automàtic |
dc.title | Estimation of urban traffic density from street camera images |
dc.type | info:eu-repo/semantics/bachelorThesis |
dc.description.abstract |