Document detail
ID

oai:arXiv.org:2410.09829

Topic
Computer Science - Computation and... Computer Science - Information Ret... Computer Science - Robotics
Author
Rubavicius, Rimvydas Miceli-Barone, Antonio Valerio Lascarides, Alex Ramamoorthy, Subramanian
Category

Computer Science

Year

2024

listing date

10/16/2024

Keywords
using
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Abstract

Cyber-physical systems like autonomous vehicles are tested in simulation before deployment, using domain-specific programs for scenario specification.

To aid the testing of autonomous vehicles in simulation, we design a natural language interface, using an instruction-following large language model, to assist a non-coding domain expert in synthesising the desired scenarios and vehicle behaviours.

We show that using it to convert utterances to the symbolic program is feasible, despite the very small training dataset.

Human experiments show that dialogue is critical to successful simulation generation, leading to a 4.5 times higher success rate than a generation without engaging in extended conversation.

;Comment: 6 pages, 6 figures, 2 tables

Rubavicius, Rimvydas,Miceli-Barone, Antonio Valerio,Lascarides, Alex,Ramamoorthy, Subramanian, 2024, Generating Driving Simulations via Conversation

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