12 citations · 15 across the 10 of their papers we have counts for
10 papers
Unsupervised Quality Prediction for Improved Single-Frame and Weighted Sequential Visual Place Recognition
Helen Carson, Jason J. Ford, Michael Milford
While substantial progress has been made in the absolute performance of localization and Visual Place Recognition (VPR) techniques, it is becoming increasingly clear from translati…
Innovation-Based Remote State Estimation Secrecy with no Acknowledgments
Justin M. Kennedy, Jason J. Ford, Daniel E. Quevedo +1
Secrecy encoding for remote state estimation in the presence of adversarial eavesdroppers is a well studied problem. Typical existing secrecy encoding schemes rely on the transmitt…
Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation
Justin M. Kennedy, Jason J. Ford, Daniel E. Quevedo
For geographically separated cyber-physical systems, state estimation at a remote monitoring or control site is important to ensure stability and reliability of the system. Often f…
A Dataset of Stationary, Fixed-wing Aircraft on a Collision Course for Vision-Based Sense and Avoid
Jasmin Martin, Jenna Riseley, Jason J. Ford
The emerging global market for unmanned aerial vehicle (UAV) services is anticipated to reach USD 58.4 billion by 2026, spurring significant efforts to safely integrate routine UAV…
Exactly Optimal Bayesian Quickest Change Detection for Hidden Markov Models
Jason J. Ford, Jasmin James, Timothy L. Molloy
This paper considers the quickest detection problem for hidden Markov models (HMMs) in a Bayesian setting. We construct an augmented HMM representation of the problem that allows t…
Online Inverse Optimal Control for Control-Constrained Discrete-Time Systems on Finite and Infinite Horizons
Timothy L. Molloy, Jason J. Ford, Tristan Perez
In this paper, we consider the problem of computing parameters of an objective function for a discrete-time optimal control problem from state and control trajectories with active…
Below Horizon Aircraft Detection Using Deep Learning for Vision-Based Sense and Avoid
Jasmin James, Jason J. Ford, Timothy L. Molloy
Commercial operation of unmanned aerial vehicles (UAVs) would benefit from an onboard ability to sense and avoid (SAA) potential mid-air collision threats. In this paper we present…
On the Informativeness of Measurements in Shiryaev's Bayesian Quickest Change Detection
Jason J. Ford, Jasmin James, Timothy L. Molloy
This paper provides the first description of a weak practical super-martingale phenomenon that can emerge in the test statistic in Shiryaev's Bayesian quickest change detection (QC…
A Novel Technique for Rejecting Non-Aircraft Artefacts in Above Horizon Vision-Based Aircraft Detection
Jasmin James, Jason J. Ford, Timothy L. Molloy
Unmanned aerial vehicle (UAV) operations are steadily expanding into many important applications. A key technology for better enabling their commercial use is an onboard sense and…
Quickest Detection of Intermittent Signals With Application to Vision Based Aircraft Detection
Jasmin James, Jason J. Ford, Timothy L. Molloy
In this paper we consider the problem of quickly detecting changes in an intermittent signal that can (repeatedly) switch between a normal and an anomalous state. We pose this inte…