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SilGAN: Generating driving maneuvers for scenario-based
  software-in-the-loop testing

SilGAN: Generating driving maneuvers for scenario-based software-in-the-loop testing

5 July 2021
Dhasarathy Parthasarathy
Anton Johansson
ArXivPDFHTML

Papers citing "SilGAN: Generating driving maneuvers for scenario-based software-in-the-loop testing"

3 / 3 papers shown
Title
Mind the Gap! A Study on the Transferability of Virtual vs
  Physical-world Testing of Autonomous Driving Systems
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems
Andrea Stocco
Brian Pulfer
Paolo Tonella
19
67
0
21 Dec 2021
Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to
  the Real World
Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World
Daniel J. Fremont
Edward Kim
Yash Vardhan Pant
S. Seshia
Atul Acharya
Xantha Bruso
Paul Wells
Steve Lemke
Q. Lu
Shalin Mehta
71
123
0
17 Mar 2020
C-RNN-GAN: Continuous recurrent neural networks with adversarial
  training
C-RNN-GAN: Continuous recurrent neural networks with adversarial training
Olof Mogren
GAN
75
512
0
29 Nov 2016
1