Ground surface classification by stereo polarised image sensors

Jan Jürgen, Eisenmenger
Göteborgs universitet/Institutionen för data- och informationsteknikswe
University of Gothenburg/Department of Computer Science and Engineeringeng
2021-04-21T07:12:18Z
2021-04-21T07:12:18Z
2021-04-21
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.sv
http://hdl.handle.net/2077/68304
CSE 20-25sv
Technology
Computer Sciencesv
Polarizationsv
Image processingsv
Water Detectionsv
Projectsv
Thesissv
Ground surface classification by stereo polarised image sensorssv
text
Student essay
H2

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
gupea_2077_68304_1.pdf
Size:
13.69 MB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
876 B
Format:
Item-specific license agreed upon to submission
Description:

Collections