Intention Recognition in Real-Time Interactive Navigation Maps
Peijie Zhao, Zunayed Arefin, Felipe Meneguzzi, and Ramon Fraga Pereira
TL;DR
This paper presents IntentRec4Maps, a system that recognizes user intentions in real-time interactive navigation maps using Google Maps and advanced intention recognition techniques, demonstrated with path-planners and LLM integration.
Contribution
It introduces a novel system for real-time intention recognition in interactive maps, combining multiple path-planners and large language models for improved accuracy.
Findings
Effective intention recognition in real-time maps
Successful integration of LLMs with navigation systems
Demonstrated system with different path-planners
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
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Taxonomy
TopicsGeographic Information Systems Studies · Data Management and Algorithms · Maritime Navigation and Safety