Predicting pedestrian intention using object detection, object tracking and human pose estimation

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dc.contributor.authorAndreasson, Kajsa
dc.contributor.authorBjurek, Kalle
dc.contributor.authorDass Raj, Ria
dc.contributor.authorDavidsson, Ebba
dc.contributor.authorEriksson, Colin
dc.contributor.authorHagman, Victor
dc.contributor.departmentChalmers tekniska högskola / Institutionen för elektrotekniksv
dc.contributor.examinerÅkesson, Knut
dc.date.accessioned2020-10-28T09:03:15Z
dc.date.available2020-10-28T09:03:15Z
dc.date.issued2020sv
dc.date.submitted2020
dc.identifier.coursecodeEENX15sv
dc.identifier.urihttps://hdl.handle.net/20.500.12380/301995
dc.language.isoengsv
dc.setspec.uppsokTechnology
dc.titlePredicting pedestrian intention using object detection, object tracking and human pose estimationsv
dc.type.degreeExamensarbete på kandidatnivåsv
dc.type.uppsokM2

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