no code implementations • 12 Apr 2024 • Miguel Ortiz del Castillo, Jonathan Morgan, Jack McRobbie, Clint Therakam, Zaher Joukhadar, Robert Mearns, Simon Barraclough, Richard Sinnott, Andrew Woods, Chris Bayliss, Kris Ehinger, Ben Rubinstein, James Bailey, Airlie Chapman, Michele Trenti
Artificial intelligence (AI) and autonomous edge computing in space are emerging areas of interest to augment capabilities of nanosatellites, where modern sensors generate orders of magnitude more data than can typically be transmitted to mission control.
no code implementations • 21 Jan 2023 • Samuel Mallick, Airlie Chapman, Eric Schoof
Unmanned Aerial Vehicles equipped with cameras can be used to automate image capture for generating 3D models via photogrammetry.
no code implementations • 25 Nov 2022 • Daniel A. Williams, Airlie Chapman, Chris Manzie
With the increasing ubiquity of networked control systems, various strategies for sampling constituent subsystems' outputs have emerged.
no code implementations • 28 Mar 2022 • Elena M Vella, Daniel A Williams, Airlie Chapman, Chris Manzie
We formulate a linear optimization problem to locate a trusted behavior in the feature space.
no code implementations • 4 Jun 2021 • Ruixin Wen, Eric Schoof, Airlie Chapman
Joint position and clock estimation is crucial in many wireless sensor network applications, especially in distance-based estimation with time-of-arrival (TOA) measurement.
no code implementations • 4 May 2021 • Declan Burke, Airlie Chapman, Iman Shames
In this paper, we study spline trajectory generation via the solution of two optimisation problems: (i) a quadratic program (QP) with linear equality constraints and (ii) a nonlinear and nonconvex optimisation program.
no code implementations • 22 Dec 2014 • Saghar Hosseini, Airlie Chapman, Mehran Mesbahi
This paper presents a distributed optimization scheme over a network of agents in the presence of cost uncertainties and over switching communication topologies.