19 citations · 22 across the 10 of their papers we have counts for
4 papers · 1 filter
Comparing Optical Flow and Deep Learning to Enable Computationally Efficient Traffic Event Detection with Space-Filling Curves
Tayssir Bouraffa, Elias Kjellberg Carlson, Erik Wessman +3
Gathering data and identifying events in various traffic situations remains an essential challenge for the systematic evaluation of a perception system's performance. Analyzing lar…
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…
Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models
Ali Nouri, Beatriz Cabrero-Daniel, Fredrik Törner +2
DevOps is a necessity in many industries, including the development of Autonomous Vehicles. In those settings, there are iterative activities that reduce the speed of SafetyOps cyc…
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…