Speak to the City: Multimodal Resolution for Outside-the-Vehicle References
As autonomous vehicles and Extended Reality (XR) headsets enable novel in-car interactions, seamlessly querying physical landmarks, known as Outside-the-Vehicle Referencing (OVR), remains challenging due to ego-motion and referential ambiguity. We present a robust, multimodal OVR framework fusing user gaze and natural language to identify Points of Interest (POIs). To address the scarcity of dynamic vehicular data, we developed a VR-based pipeline synchronizing 360-degree transit videos with vehicle GNSS telemetry. Through a user study (N=46) mapping passenger head orientation into a 3D geospatial Digital Twin, we captured authentic gaze-speech behaviors. We subsequently trained a lightwe...
| Authors | Alireza Parchami, Artin Saberpour, Robin Connor Schramm et al. |
|---|---|
| Primary category | cs.HC |
| Published | 13 September 2026 |
| Last updated at source | 13 September 2026 |
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