mlsanityData to 14 Oct 2026

Intention Recognition in Real-Time Interactive Navigation Maps

arXiv 2502.17581 ↗First posted 24 Feb 2025cs.AIcited by 0

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Abstract (arXiv)

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

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 20 references that are in the map. First posted on arXiv 24 Feb 2025.

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3 of 20 references.

References · 3

  1. 2023On the Planning Abilities of Large Language Models : A Critical Investigationcited by 312
  2. 2019Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimationcited by 19
  3. 2013Elastic Pathing: Your Speed is Enough to Track Youcited by 2

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