most citedWelcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models

19 citations · 22 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2025

PCICF: A Pedestrian Crossing Identification and Classification Framework

Junyi Gu, Beatriz Cabrero-Daniel, Ali Nouri +2

We have recently observed the commercial roll-out of robotaxis in various countries. They are deployed within an operational design domain (ODD) on specific routes and environmenta…

cs.SE2025

The DevSafeOps Dilemma: A Systematic Literature Review on Rapidity in Safe Autonomous Driving Development and Operation

Ali Nouri, Beatriz Cabrero-Daniel, Fredrik Törner +1

Developing autonomous driving (AD) systems is challenging due to the complexity of the systems and the need to assure their safe and reliable operation. The widely adopted approach…

cs.SE2025

Large Language Models in Code Co-generation for Safe Autonomous Vehicles

Ali Nouri, Beatriz Cabrero-Daniel, Zhennan Fei +3

Software engineers in various industrial domains are already using Large Language Models (LLMs) to accelerate the process of implementing parts of software systems. When considerin…

cs.SE2025

On Simulation-Guided LLM-based Code Generation for Safe Autonomous Driving Software

Ali Nouri, Johan Andersson, Kailash De Jesus Hornig +5

Automated Driving System (ADS) is a safety-critical software system responsible for the interpretation of the vehicle's environment and making decisions accordingly. The unbounded…

cs.CV2024

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…

cs.AI2024

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…

cs.SE2024★ 19 cited

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…

cs.SE2024★ 3 cited

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…