Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving

Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving

Deep neural networks (DNNs) have proven their capabilities in the past years and play a significant role in environment perception for the challenging application of automated driving. They are employed for tasks such as detection, semantic segmentation, and sensor fusion. Despite tremendous researc...

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Bibliographic Details
Main Authors: Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termohlen, Jorg P. Schafer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Computer vision
deep neural networks
unsupervised domain adaptation
semantic segmentation
automated driving
Online Access:https://ieeexplore.ieee.org/document/10128983/

Internet

https://ieeexplore.ieee.org/document/10128983/

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