3 citations · 6 across the 4 of their papers we have counts for
4 papers
Depth-SIMS: Semi-Parametric Image and Depth Synthesis
Valentina Musat, Daniele De Martini, Matthew Gadd +1
In this paper we present a compositing image synthesis method that generates RGB canvases with well aligned segmentation maps and sparse depth maps, coupled with an in-painting net…
Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing
Izzeddin Teeti, Valentina Musat, Salman Khan +3
In an autonomous driving system, perception - identification of features and objects from the environment - is crucial. In autonomous racing, high speeds and small margins demand r…
Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions
Ivan Fursa, Elias Fandi, Valentina Musat +7
Autonomous vehicles rely heavily upon their perception subsystems to see the environment in which they operate. Unfortunately, the effect of variable weather conditions presents a…
Rainy screens: Collecting rainy datasets, indoors
Horia Porav, Valentina-Nicoleta Musat, Tom Bruls +1
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 condit…