A technique parameterizes non-Gaussian confidence boundaries as perturbations from covariance predictions using skew and kurtosis tensors, applied to impulsive spacecraft maneuvers where it outperforms standard Gaussian methods.
Non-gaussian chance- constrained trajectory planning for autonomous vehicles under agent uncertainty
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A contingency planning method for autonomous vehicles that learns human vehicle uncertainties online and uses reachable set barriers for non-conservative safety.
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Analytic Non-Gaussian Confidence Boundary Method for Chance-Constrained Trajectory Control
A technique parameterizes non-Gaussian confidence boundaries as perturbations from covariance predictions using skew and kurtosis tensors, applied to impulsive spacecraft maneuvers where it outperforms standard Gaussian methods.
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Safe and Nonconservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers
A contingency planning method for autonomous vehicles that learns human vehicle uncertainties online and uses reachable set barriers for non-conservative safety.