Ground surface classification by stereo polarised image sensors
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Date
2021-04-21
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Abstract
or 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.
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Keywords
Computer Science, Polarization, Image processing, Water Detection, Project, Thesis