Designing a convolutional neural network-based roadside unit for road user localisation

dc.contributor	Aalto-yliopisto	fi
dc.contributor	Aalto University	en
dc.contributor.advisor	Vepsäläinen, Jari
dc.contributor.author	Ojala, Risto
dc.contributor.school	Insinööritieteiden korkeakoulu	fi
dc.contributor.supervisor	Pietola, Matti
dc.date.accessioned	2019-04-09T09:12:39Z
dc.date.available	2019-04-09T09:12:39Z
dc.date.issued	2018-12-02
dc.format.extent	30
dc.format.mimetype	application/pdf	en
dc.identifier.uri	https://aaltodoc.aalto.fi/handle/123456789/37461
dc.identifier.urn	URN:NBN:fi:aalto-201904092590
dc.language.iso	en	en
dc.programme	Insinööritieteiden kandidaattiohjelma	fi
dc.programme.major	Kone- ja rakennustekniikka	fi
dc.programme.mcode	ENG3043	fi
dc.subject.keyword	cameras	en
dc.subject.keyword	intelligent transportation systems	en
dc.subject.keyword	machine vision	en
dc.subject.keyword	object detection	en
dc.subject.keyword	vehicle-to-infrastructure	en
dc.title	Designing a convolutional neural network-based roadside unit for road user localisation	en
dc.type	G1 Kandidaatintyö	fi
dc.type.dcmitype	text	en
dc.type.ontasot	Bachelor's thesis	en
dc.type.ontasot	Kandidaatintyö	fi

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