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Depth-SIMS: Semi-Parametric Image and Depth Synthesis
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 network that transforms the RGB canvases into high quality RGB images and the sparse depth maps into pixel-wise dense depth maps.
Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing
In an autonomous driving system, perception - identification of features and objects from the environment - is crucial.
Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions
Autonomous vehicles rely heavily upon their perception subsystems to see the environment in which they operate.
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