13 citations · 14 across the 3 of their papers we have counts for
8 papers
Addressing the IEEE AV Test Challenge with Scenic and VerifAI
Kesav Viswanadha, Francis Indaheng, Justin Wong +5
This paper summarizes our formal approach to testing autonomous vehicles (AVs) in simulation for the IEEE AV Test Challenge. We demonstrate a systematic testing framework leveragin…
Parallel and Multi-Objective Falsification with Scenic and VerifAI
Kesav Viswanadha, Edward Kim, Francis Indaheng +2
Falsification has emerged as an important tool for simulation-based verification of autonomous systems. In this paper, we present extensions to the Scenic scenario specification la…
Entropy-Guided Control Improvisation
Marcell Vazquez-Chanlatte, Sebastian Junges, Daniel J. Fremont +1
High level declarative constraints provide a powerful (and popular) way to define and construct control policies; however, most synthesis algorithms do not support specifying the d…
Scenic: A Language for Scenario Specification and Data Generation
Daniel J. Fremont, Edward Kim, Tommaso Dreossi +4
We propose a new probabilistic programming language for the design and analysis of cyber-physical systems, especially those based on machine learning. Specifically, we consider the…
Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing System with VerifAI
Daniel J. Fremont, Johnathan Chiu, Dragos D. Margineantu +2
We demonstrate a unified approach to rigorous design of safety-critical autonomous systems using the VerifAI toolkit for formal analysis of AI-based systems. VerifAI provides an in…
Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World
Daniel J. Fremont, Edward Kim, Yash Vardhan Pant +7
We present a new approach to automated scenario-based testing of the safety of autonomous vehicles, especially those using advanced artificial intelligence-based components, spanni…