arXiv Machine Learning June 25, 2026 By Syed Izzat Ullah, Jose Baca

AeroCast: Probabilistic 3D Trajectory Prediction for Non-Cooperative Aerial Obstacles via Transformer-MDN Architecture

Read the original on arXiv Machine Learning →

arXiv:2606. 25122v1 Announce Type: cross Abstract: Autonomous aerial vehicles operating in shared airspace must predict the future positions of non-cooperative obstacles to plan evasive maneuvers before a collision becomes unavoidable.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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