no code implementations • 10 Mar 2020 • Horia Porav, Valentina-Nicoleta Musat, Tom Bruls, Paul Newman
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.
no code implementations • 25 Jul 2019 • Horia Porav, Tom Bruls, Paul Newman
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 conditions change.
no code implementations • 10 Jul 2019 • Tom Bruls, Horia Porav, Lars Kunze, Paul Newman
Road markings provide guidance to traffic participants and enforce safe driving behaviour, understanding their semantic meaning is therefore paramount in (automated) driving.
no code implementations • 3 Jan 2019 • Horia Porav, Tom Bruls, Paul Newman
We present a method for improving segmentation tasks on images affected by adherent rain drops and streaks.
no code implementations • 3 Dec 2018 • Tom Bruls, Horia Porav, Lars Kunze, Paul Newman
Many tasks performed by autonomous vehicles such as road marking detection, object tracking, and path planning are simpler in bird's-eye view.