ROSYSYJul 12, 2025

C-ZUPT: Stationarity-Aided Aerial Hovering

arXiv:2507.093441 citationsh-index: 6
Originality Incremental advance
AI Analysis

For resource-constrained aerial systems, C-ZUPT provides a novel method to improve navigation stability and energy efficiency without relying on external sensors.

C-ZUPT enables zero-velocity updates for aerial vehicles without surface contact by detecting quasi-static equilibria, reducing inertial drift and control effort, leading to more energy-efficient hovering and extended flight duration.

Autonomous systems across diverse domains have underscored the need for drift-resilient state estimation. Although satellite-based positioning and cameras are widely used, they often suffer from limited availability in many environments. As a result, positioning must rely solely on inertial sensors, leading to rapid accuracy degradation over time due to sensor biases and noise. To counteract this, alternative update sources-referred to as information aiding-serve as anchors of certainty. Among these, the zero-velocity update (ZUPT) is particularly effective in providing accurate corrections during stationary intervals, though it is restricted to surface-bound platforms. This work introduces a controlled ZUPT (C-ZUPT) approach for aerial navigation and control, independent of surface contact. By defining an uncertainty threshold, C-ZUPT identifies quasi-static equilibria to deliver precise velocity updates to the estimation filter. Extensive validation confirms that these opportunistic, high-quality updates significantly reduce inertial drift and control effort. As a result, C-ZUPT mitigates filter divergence and enhances navigation stability, enabling more energy-efficient hovering and substantially extending sustained flight-key advantages for resource-constrained aerial systems.

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