152 citations · 164 across the 4 of their papers we have counts for
4 papers
Engineering Safety Requirements for Autonomous Driving with Large Language Models
Ali Nouri, Beatriz Cabrero-Daniel, Fredrik Törner +2
Changes and updates in the requirement artifacts, which can be frequent in the automotive domain, are a challenge for SafetyOps. Large Language Models (LLMs), with their impressive…
On STPA for Distributed Development of Safe Autonomous Driving: An Interview Study
Ali Nouri, Christian Berger, Fredrik Törner
Safety analysis is used to identify hazards and build knowledge during the design phase of safety-relevant functions. This is especially true for complex AI-enabled and software in…
An Industrial Experience Report about Challenges from Continuous Monitoring, Improvement, and Deployment for Autonomous Driving Features
Ali Nouri, Christian Berger, Fredrik Torner
Using continuous development, deployment, and monitoring (CDDM) to understand and improve applications in a customer's context is widely used for non-safety applications such as sm…
A Bayesian Sampling Approach to Exploration in Reinforcement Learning
John Asmuth, Lihong Li, Michael L. Littman +2
We present a modular approach to reinforcement learning that uses a Bayesian representation of the uncertainty over models. The approach, BOSS (Best of Sampled Set), drives explora…