19 citations · 49 across the 15 of their papers we have counts for
6 papers · 1 filter
LLMs Can Check Their Own Results to Mitigate Hallucinations in Traffic Understanding Tasks
Malsha Ashani Mahawatta Dona, Beatriz Cabrero-Daniel, Yinan Yu +1
Today's Large Language Models (LLMs) have showcased exemplary capabilities, ranging from simple text generation to advanced image processing. Such models are currently being explor…
Tapping in a Remote Vehicle's onboard LLM to Complement the Ego Vehicle's Field-of-View
Malsha Ashani Mahawatta Dona, Beatriz Cabrero-Daniel, Yinan Yu +1
Today's advanced automotive systems are turning into intelligent Cyber-Physical Systems (CPS), bringing computational intelligence to their cyber-physical context. Such systems pow…
Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks
Malsha Ashani Mahawatta Dona, Beatriz Cabrero-Daniel, Yinan Yu +1
Today's advanced driver assistance systems (ADAS), like adaptive cruise control or rear collision warning, are finding broader adoption across vehicle classes. Integrating such adv…
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…
Prompt Smells: An Omen for Undesirable Generative AI Outputs
Krishna Ronanki, Beatriz Cabrero-Daniel, Christian Berger
Recent Generative Artificial Intelligence (GenAI) trends focus on various applications, including creating stories, illustrations, poems, articles, computer code, music composition…