19 citations · 19 across the 6 of their papers we have counts for
6 papers
From Concept to Capability: Evaluating 3D Gaussian Splatting for Synthetic Scene Editing in Autonomous Driving
Ali Nouri, Yifei Zhang, Yifan Zhang +5
The perception of an Autonomous Driving System (ADS) critically depends on relevant, comprehensive, and diverse datasets to ensure its safety while operating in the environment. Fi…
From Research to Practice: An Interactive Rapid Review of Autonomous Driving System Testing in Industry
Qunying Song, Ali Nouri, Håkan Sivencrona +1
Autonomous driving systems (ADS) are increasingly deployed in real traffic, yet testing remains fundamentally challenging due to open environments, complex scenarios, and the lack…
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…
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…
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…