most citedUncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model Learning

2 citations · 4 across the 3 of their papers we have counts for

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eess.SY2024★ 2 cited

Uncertainty-Aware Guidance for Target Tracking subject to Intermittent Measurements using Motion Model Learning

Andres Pulido, Kyle Volle, Kristy Waters +3

This paper presents a novel guidance law for target tracking applications where the target motion model is unknown and sensor measurements are intermittent due to unknown environme…

eess.SY2024★ 1 cited

An adaptive optimal control approach to monocular depth observability maximization

Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell +2

This paper presents an integral concurrent learning (ICL)-based observer for a monocular camera to accurately estimate the Euclidean distance to features on a stationary object, un…