3 papers
cs.SE2021
SilGAN: Generating driving maneuvers for scenario-based software-in-the-loop testing
Dhasarathy Parthasarathy, Anton Johansson
Automotive software testing continues to rely largely upon expensive field tests to ensure quality because alternatives like simulation-based testing are relatively immature. As a…
cs.CV2020
Does the dataset meet your expectations? Explaining sample representation in image data
Dhasarathy Parthasarathy, Anton Johansson
Since the behavior of a neural network model is adversely affected by a lack of diversity in training data, we present a method that identifies and explains such deficiencies. When…
cs.LG2020
Controlled time series generation for automotive software-in-the-loop testing using GANs
Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson +1
Testing automotive mechatronic systems partly uses the software-in-the-loop approach, where systematically covering inputs of the system-under-test remains a major challenge. In cu…