Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Horia Porav"'
Publikováno v:
ITSC
Road markings provide guidance to traffic participants and enforce safe driving behaviour, understanding their semantic meaning is therefore paramount in (automated) driving. However, producing the vast quantities of road marking labels required for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe2f5947260b3d2f5b3ce2d5265f2654
https://doi.org/10.1109/itsc.2019.8916785
https://doi.org/10.1109/itsc.2019.8916785
Many tasks performed by autonomous vehicles such as road marking detection, object tracking, and path planning are simpler in bird's-eye view. Hence, Inverse Perspective Mapping (IPM) is often applied to remove the perspective effect from a vehicle's
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5442b27758b8dafc78d5f6544804285c
https://doi.org/10.1109/ivs.2019.8814056
https://doi.org/10.1109/ivs.2019.8814056
Publikováno v:
ICRA
We present a method for improving segmentation tasks on images affected by adherent rain drops and streaks. We introduce a novel stereo dataset recorded using a system that allows one lens to be affected by real water droplets while keeping the other
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73b2571890fe9dac94e344a71ef03974
https://doi.org/10.1109/icra.2019.8793486
https://doi.org/10.1109/icra.2019.8793486
Publikováno v:
ICRA
We present a method of improving visual place recognition and metric localisation under very strong appear- ance change. We learn an invertable generator that can trans- form the conditions of images, e.g. from day to night, summer to winter etc. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fe636819e13f97a13afd66f72f9b403
http://arxiv.org/abs/1803.03341
http://arxiv.org/abs/1803.03341