C-ZUPT uses an uncertainty threshold to identify quasi-static equilibria in flight and feed precise velocity updates into the state estimator, cutting inertial drift and control effort for aerial platforms.
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3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2025 3verdicts
UNVERDICTED 3representative citing papers
Introduces an ADMM-based distributed trajectory negotiation framework with interactive attention for robust real-time CAV coordination under uncertainty, reporting up to 40.79% collision reduction and 15.4% lower computation in simulations plus real-world validation.
Uses local differential flatness to add accelerometer measurements to LQG state estimation for inverted pendulum systems without direct tilt sensing.
citing papers explorer
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C-ZUPT: Stationarity-Aided Aerial Hovering
C-ZUPT uses an uncertainty threshold to identify quasi-static equilibria in flight and feed precise velocity updates into the state estimator, cutting inertial drift and control effort for aerial platforms.
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Robust Real-Time Coordination of CAVs: A Distributed Optimization Framework under Uncertainty
Introduces an ADMM-based distributed trajectory negotiation framework with interactive attention for robust real-time CAV coordination under uncertainty, reporting up to 40.79% collision reduction and 15.4% lower computation in simulations plus real-world validation.
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Inertial-Based LQG Control: A New Look at Inverted Pendulum Stabilization
Uses local differential flatness to add accelerometer measurements to LQG state estimation for inverted pendulum systems without direct tilt sensing.