Ground surface classification by stereo polarised image sensors

dc.contributor.authorJan Jürgen, Eisenmenger
dc.contributor.departmentGöteborgs universitet/Institutionen för data- och informationsteknikswe
dc.contributor.departmentUniversity of Gothenburg/Department of Computer Science and Engineeringeng
dc.date.accessioned2021-04-21T07:12:18Z
dc.date.available2021-04-21T07:12:18Z
dc.date.issued2021-04-21
dc.description.abstractor an autonomous vehicle. By introducing polarized imaging, advances in water hazard detection have been made in recent years. However, most approaches utilize retrofitted polarized cameras for use in an off-road environment. In this thesis, a dedicated polarized imaging sensor, the IMX250MZR, is used in order to investigate the feasibility of polarization based water hazard detection in an urban environment. Stereo imaging was used in order to measure the distance to the detected hazards, but failed due to the lack of features on the road surface. Results show that detection works well when the camera is facing away from the sun, with poor results when looking towards the sun, due to the different polarization in the sky.sv
dc.identifier.urihttp://hdl.handle.net/2077/68304
dc.relation.ispartofseriesCSE 20-25sv
dc.setspec.uppsokTechnology
dc.subjectComputer Sciencesv
dc.subjectPolarizationsv
dc.subjectImage processingsv
dc.subjectWater Detectionsv
dc.subjectProjectsv
dc.subjectThesissv
dc.titleGround surface classification by stereo polarised image sensorssv
dc.typetext
dc.type.degreeStudent essay
dc.type.uppsokH2

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