Search Results for author:
Found 6 papers, 1 papers with code
ISEE.U: Distributed online active target localization with unpredictable targets
This paper addresses target localization with an online active learning algorithm defined by distributed, simple and fast computations at each node, with no parameters to tune and where the estimate of the target position at each agent is asymptotically equal in expectation to the centralized maximum-likelihood estimator.
STRONG: Synchronous and asynchronous RObust Network localization, under Non-Gaussian noise
We convexify and change the problem representation, to allow for distributed robust localization algorithms: a synchronous distributed method that has optimal convergence rate and an asynchronous one with proven convergence guarantees.
Autonomous orbit determination for satelite formations using relative sensing: observability analysis and optimization
Orbit determination of spacecraft in orbit has been mostly dependent on either GNSS satellite signals or ground station telemetry.
CvxPnPL: A Unified Convex Solution to the Absolute Pose Estimation Problem from Point and Line Correspondences
We present a new convex method to estimate 3D pose from mixed combinations of 2D-3D point and line correspondences, the Perspective-n-Points-and-Lines problem (PnPL).
Learning from Demonstration in the Wild
Learning from demonstration (LfD) is useful in settings where hand-coding behaviour or a reward function is impractical.
LocDyn: Robust Distributed Localization for Mobile Underwater Networks
LocDyn is robust: it rejects outlier noise, while the comparing methods succumb in terms of positioning error.
