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arXiv Machine Learning By Bodhisatwa Kundu, Anish Rooj, Sumit Saha, Abhradeep Sarkar, Arghadip Das, Arnab Raha, Mrinal K. Naskar

KATANA: A Fast, Low-Power Mapping of Kalman Filters onto Edge NPUs for Real-Time Tracking

Read the original on arXiv Machine Learning →

arXiv:2606. 14992v1 Announce Type: cross Abstract: State estimation is the closed-loop core of every real-time tracking system, from radar surveillance and counter-UAV defense to autonomous driving and robotics.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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