Deep learning methods for recognizing signs/objects in road traffic

dc.contributor.authorBengtson, Josef
dc.contributor.authorHeikkilä, Filip
dc.contributor.authorNilsson, Per
dc.contributor.authorNyström, Lukas
dc.contributor.authorPersson, Erik
dc.contributor.authorTellwe, Gustav
dc.contributor.departmentChalmers tekniska högskola / Institutionen för elektrotekniksv
dc.contributor.departmentChalmers University of Technology / Department of Electrical Engineeringen
dc.date.accessioned2019-07-03T14:52:16Z
dc.date.available2019-07-03T14:52:16Z
dc.date.issued2018
dc.identifier.urihttps://hdl.handle.net/20.500.12380/255863
dc.language.isoeng
dc.relation.ispartofseriesKandidatarbete - Institutionen för elektroteknik, Chalmers tekniska högskola
dc.setspec.uppsokTechnology
dc.subjectElektroteknik och elektronik
dc.subjectElectrical Engineering, Electronic Engineering, Information Engineering
dc.titleDeep learning methods for recognizing signs/objects in road traffic
dc.type.degreeExamensarbete för kandidatexamensv
dc.type.degreeBachelor Thesisen
dc.type.uppsokM2
local.programmeEngineering Mathematics (300 hp)
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