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Real-to-Virtual Domain Unification for End-to-End Autonomous Driving
[chapter]
2018
Lecture Notes in Computer Science
In the spectrum of vision-based autonomous driving, vanilla end-toend models are not interpretable and suboptimal in performance, while mediated perception models require additional intermediate representations such as segmentation masks or detection bounding boxes, whose annotation can be prohibitively expensive as we move to a larger scale. More critically, all prior works fail to deal with the notorious domain shift if we were to merge data collected from different sources, which greatly
doi:10.1007/978-3-030-01225-0_33
fatcat:hnqrcrw4nfhkjegl2rpgynkrsu