Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Bruls, Tom"'
Acquisition of data with adverse conditions in robotics is a cumbersome task due to the difficulty in guaranteeing proper ground truth and synchronising with desired weather conditions. In this paper, we present a simple method - recording a high res
Externí odkaz:
http://arxiv.org/abs/2003.04742
Modern models that perform system-critical tasks such as segmentation and localization exhibit good performance and robustness under ideal conditions (i.e. daytime, overcast) but performance degrades quickly and often catastrophically when input cond
Externí odkaz:
http://arxiv.org/abs/1907.11004
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:
http://arxiv.org/abs/1907.04569
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:
http://arxiv.org/abs/1901.00893
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:
http://arxiv.org/abs/1812.00913