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On the properties of Gaussian Copula Mixture Models
This paper investigates Gaussian copula mixture models (GCMM), which are an extension of Gaussian mixture models (GMM) that incorporate copula concepts.
Beyond Grand Theft Auto V for Training, Testing and Enhancing Deep Learning in Self Driving Cars
As an initial assessment, over 480, 000 labeled virtual images of normal highway driving were readily generated in Grand Theft Auto V's virtual environment.
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
To demonstrate this, we train a deep Convolutional Neural Network using recording from 12 hours of human driving in a video game and show that our model can work well to drive a car in a very diverse set of virtual environments.
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