| KEYWORD |
Area Ingegneria
Generative AI for Generation of OpenScenario and OpenDrive from series of traffic images
Tesi esterna in azienda
Parole chiave AI, AUTOMOTIVE, TESTING
Riferimenti RICCARDO COPPOLA
Gruppi di ricerca DAUIN - GR-16 - SOFTWARE ENGINEERING GROUP - SOFTENG
Tipo tesi AZIENDALE
Descrizione Context:
In the realm of Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV), drive and traffic simulators play a crucial role in accelerating development, training, and validation processes. This dynamic field is witnessing a growing demand for standardized simulation models, aiming for the seamless exchange of data and models.
Description:
The candidate will join a dynamic Research and Innovation team dedicated to pushing the boundaries of data-driven development. This role focuses on developing a cutting-edge Software as a Service (SaaS) platform, seamlessly translating traffic images into OpenSCENARIO and OpenDRIVE files using Large Language Models.
Objectives:
Explore state-of-the-art techniques, large language models, and structured text generation
Prompt engineering for optimized generation of standardized files from traffic images
Fine-tune ChatGPT for a customized model
Design and execute output validation using CARLA simulator / esmini testing environment
Develop end-to-end service, including customer journey definition, front-end development, ChatGPT integration, and deployment on a physical server
Conoscenze richieste Pre-requisites:
Experience with OpenAI ChatGPT (or similar) API integration for generating structured textual descriptions of images
Demonstrated interest in Autonomous Driving
Full-stack web development skills
Scadenza validita proposta 26/02/2025
PROPONI LA TUA CANDIDATURA