Intention Recognition in Real-Time Interactive Navigation Maps
This addresses the need for better user interaction in navigation tools, but appears incremental as it builds on existing platforms and methods.
The paper tackles the problem of recognizing user intentions in real-time interactive navigation maps, resulting in a system called IntentRec4Maps that demonstrates recognition using path-planners and an LLM.
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