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

1 code implementation • 1 Feb 2024 • Andres Pulido, Kyle Volle, Kristy Waters, Zachary I. Bell, Prashant Ganesh, Jane Shin

This neural network (NN)-based motion model serves as the prediction step in a particle filter for target state estimation and uncertainty quantification.

Position Uncertainty Quantification

An adaptive optimal control approach to monocular depth observability maximization

no code implementations • 18 Jan 2024 • Tochukwu Elijah Ogri, Muzaffar Qureshi, Zachary I. Bell, Kristy Waters, Rushikesh Kamalapurkar

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, under the restriction that state information is unavailable.