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Audio-based UAV Localization with Adaptive Temporal Correspondence via Reinforcement Learning

arXiv · AI, language, vision and robotics · article · Sep 21, 2026 · UTC

Audio-based localization provides a low-cost and illumination-independent sensing solution for anti-UAV early warning. However, existing methods typically rely on a predefined fixed audio segment length, which limits temporal correspondence and creates a trade-off between sufficient acoustic evidence and timely localization. To address this issue, we propose an audio-based localization framework with adaptive temporal correspondence. A probe segment is first used to extract a compact acoustic state that characterizes the reliability and consistency of the observation. Guided by the state, a re

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