Intention Recognition in Real-Time Interactive Navigation Maps

Peijie Zhao; Zunayed Arefin; Felipe Meneguzzi; Ramon Fraga Pereira

doi:10.48550/arXiv.2502.17581

Intention Recognition in Real-Time Interactive Navigation Maps

Peijie Zhao
, Zunayed Arefin
, Felipe Meneguzzi
, Ramon Fraga Pereira

University of Manchester

Research output: Working paper › Preprint

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Abstract

In this demonstration, we develop IntentRec4Maps, a system to recognise users' intentions in interactive maps for real-world navigation. IntentRec4Maps uses the Google Maps Platform as the real-world interactive map, and a very effective approach for recognising users' intentions in real-time. We showcase the recognition process of IntentRec4Maps using two different Path-Planners and a Large Language Model (LLM). GitHub: https://github.com/PeijieZ/IntentRec4Maps

Original language	English
Publisher	ArXiv
Number of pages	7
DOIs	https://doi.org/10.48550/arXiv.2502.17581
Publication status	Published - 24 Feb 2025

Funding

We would like to thank the referees for their valuable comments. This study was part funded by the Coordenação deAperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001

Keywords

cs.AI

Access to Document

10.48550/arXiv.2502.17581Licence: CC BY

2502.17581v1
https://creativecommons.org/licenses/by/4.0/
Submitted manuscript, 1.05 MBLicence: CC BY

Cite this

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Intention Recognition in Real-Time Interactive Navigation Maps

Abstract

Funding

Keywords

Access to Document

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Cite this