A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories

no code implementations • 28 Jul 2020 • Andreas Demetriou, Henrik Alfsvåg, Sadegh Rahrovani, Morteza Haghir Chehreghani

Second, we develop an architecture based on Recurrent Autoencoder with GANs to obviate the variable length issue, wherein we train a GAN to learn/generate the latent representations of original trajectories.

Anomaly Detection Autonomous Driving +2