Unsupervised feature learning for road segmentation with deep neural networks using generative models and auxiliary tasks

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dc.contributor.authorAndersson, Simon
dc.contributor.authorWaubert, Benjamin
dc.contributor.departmentChalmers tekniska högskola / Institutionen för signaler och systemsv
dc.contributor.departmentChalmers University of Technology / Department of Signals and Systemsen
dc.date.accessioned2019-07-03T14:31:48Z
dc.date.available2019-07-03T14:31:48Z
dc.date.issued2017
dc.identifier.urihttps://hdl.handle.net/20.500.12380/250424
dc.language.isoeng
dc.relation.ispartofseriesEx - Institutionen för signaler och system, Chalmers tekniska högskola : EX039/2017
dc.setspec.uppsokTechnology
dc.subjectElektroteknik och elektronik
dc.subjectElectrical Engineering, Electronic Engineering, Information Engineering
dc.titleUnsupervised feature learning for road segmentation with deep neural networks using generative models and auxiliary tasks
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeComplex adaptive systems (MPCAS), MSc

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