activity
20132026
most cited"Dave...I can assure you...that it's going to be all right..." -- A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships

75 citations · 151 across the 28 of their papers we have counts for

collaborators
Showing eess.SYShow all

5 papers · 1 filter

eess.SY2026

Asynchronous Distributed Multi-Sensor Fusion Over Sensor Track Hypotheses

Ryan Draves, Nisar Ahmed, Eric Borcherding +1

This work proposes a multi-target tracking solution that reasons over combinations of sensor-level tracks to perform distributed multiple hypothesis tracking (MHT) in an asynchrono…

eess.SY2026

Distributed Observation Scheduling and Sensor Fusion For Large Agile Constellations

Nicholas Niziolek, Ryan Draves, Nolan Ales +4

With the rapid increase in interest towards large scale earth observing satellite constellations, the problem of properly commanding and utilizing these systems has become increasi…

eess.SY2022

Pareto Optimal Strategies for Event-Triggered Estimation

Anne Theurkauf, Nisar Ahmed, Morteza Lahijanian

Although resource-limited networked autonomous systems must be able to efficiently and effectively accomplish tasks, better conservation of resources often results in worse task pe…

eess.SY2021

Time Dependence in Kalman Filter Tuning

Zhaozhong Chen, Christoffer Heckman, Simon Julier +1

In this paper, we propose an approach to address the problems with ambiguity in tuning the process and observation noises for a discrete-time linear Kalman filter. Conventional app…

eess.SY2019★ 10 cited

Kalman Filter Tuning with Bayesian Optimization

Zhaozhong Chen, Nisar Ahmed, Simon Julier +1

Many state estimation algorithms must be tuned given the state space process and observation models, the process and observation noise parameters must be chosen. Conventional tunin…