Search Results for author: Jason J. Ford

Found 6 papers, 0 papers with code

Unsupervised Quality Prediction for Improved Single-Frame and Weighted Sequential Visual Place Recognition

no code implementations4 Jul 2023 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 translating these systems into applications that other capabilities like integrity and predictability are just as important, especially for safety- or operationally-critical autonomous systems.

Visual Place Recognition

Exactly Optimal Quickest Change Detection of Markov Chains

no code implementations24 Mar 2023 Jason J. Ford, Justin M. Kennedy, Caitlin Tompkins, Jasmin James, Aaron McFadyen

This paper establishes that an exactly optimal rule for Bayesian Quickest Change Detection (QCD) of Markov chains is a threshold test on the no change posterior.

Change Detection

Innovation-Based Remote State Estimation Secrecy with no Acknowledgments

no code implementations16 Dec 2022 Justin M. Kennedy, Jason J. Ford, Daniel E. Quevedo, Falko Dressler

Aiming to achieve a reliable state estimate for a legitimate estimator while ensuring secrecy, we propose a secrecy encoding scheme without the need for packet receipt acknowledgments.

Scheduling

Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation

no code implementations18 Jul 2022 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.

Change Detection

A Dataset of Stationary, Fixed-wing Aircraft on a Collision Course for Vision-Based Sense and Avoid

no code implementations6 Dec 2021 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 operations into the national airspace in a manner that they do not compromise the existing safety levels.

Exactly Optimal Bayesian Quickest Change Detection for Hidden Markov Models

no code implementations31 Aug 2020 Jason J. Ford, Jasmin James, Timothy L. Molloy

This paper considers the quickest detection problem for hidden Markov models (HMMs) in a Bayesian setting.

Change Detection

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