SOURCE-LINKED INTELLIGENCE
V2TATC: Joint Voice-Trajectory Embedding and Dataset for Air Traffic Controller Situational Awareness
As air traffic volumes in the National Airspace System continue to expand, in particular at low altitude, the need for scalable decision support tools used by air traffic controllers will also require more development. This article introduces Voice-to-Trajectory for Air Traffic Control, a joint voice communication-flight trajectory data embedding framework, that can be a component of situational awareness in congested airspaces, and assist the development of tools for ATC as they reason in real-time over Automatic Dependent Surveillance-Broadcast trajectories, or the intent expressed by pilots
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-29T01:22:52.000Z
First collected: 2026-09-21T07:51:58.603Z. This is not the publication date.