Virtual Assistant , Weather , Graphical User Interface , Automotive Industry , Traffic Conditions , Understanding Of The Data , Speech Synthesis , Time Of Day , Bilingual , Current Position , Speech Recognition , Whispering
Abstract :
[en] Conversational assistants based on large language models (LLMs) have spread widely across many domains, and the automotive industry is keen to follow suit. However, current LLMs lack sufficient understanding of geospatial data; in addition, timely information, such as weather and traffic conditions, is inaccessible to LLMs. In this demo, we present an in-car assistant capable of verbally communicating with the driver, and by utilizing external APIs, it can answer questions related to routing, finding points of interest, and is aware of the local weather and traffic conditions. The assistant, including a customizable speech synthesizer, is accessible through a graphical user interface that facilitates experimentation by simulating the change in time, origin, destination, and location of the car.
Disciplines :
Computer science
Author, co-author :
JAFARNEJAD, Sasan ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Ubiquitous and Intelligent Systems (UBI-X)
BERTHE--PARDO, Abigail Annie Hélène ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > Ubiquitous and Intelligent Systems > Team Raphaël FRANK
