Sim-atav: Simulation-based adversarial testing framework for autonomous vehicles
One of the main challenges in testing autonomous driving systems is the presence of
machine learning components, such as neural networks, for which formal properties are …
machine learning components, such as neural networks, for which formal properties are …
Poster: Sim-ATAV: Simulation-based adversarial testing framework for autonomous vehicles
CE Tuncali, G Fainekos, H Ito… - … Conference on Hybrid …, 2018 - asu.elsevierpure.com
One of the main challenges in testing autonomous driving systems is the presence of
machine learning components, such as neural networks, for which formal properties are …
machine learning components, such as neural networks, for which formal properties are …
[PDF][PDF] Poster: Sim-ATAV: Simulation-Based Adversarial Testing Framework for Autonomous Vehicles
CE Tuncali, G Fainekos, H Ito, J Kapinski - 2018 - researchgate.net
Currently there is no generally agreed upon testing or verification method for Autonomous
Vehicles (AVs), which usually utilize some machine learning (ML) components, such as …
Vehicles (AVs), which usually utilize some machine learning (ML) components, such as …