99 citations · 115 across the 10 of their papers we have counts for
14 papers
Identifiability Analysis of Noise Covariances for LTI Stochastic Systems with Unknown Inputs
He Kong, Salah Sukkarieh, Travis J. Arnold +3
Most existing works on optimal filtering of linear time-invariant (LTI) stochastic systems with arbitrary unknown inputs assume perfect knowledge of the covariances of the noises i…
Manipulating UAV Imagery for Satellite Model Training, Calibration and Testing
Jasper Brown, Cameron Clark, Sabrina Lomax +2
Modern livestock farming is increasingly data driven and frequently relies on efficient remote sensing to gather data over wide areas. High resolution satellite imagery is one such…
The Noise Covariances of Linear Gaussian Systems with Unknown Inputs Are Not Uniquely Identifiable Using Autocovariance Least-squares
He Kong, Salah Sukkarieh, Travis J. Arnold +2
Existing works in optimal filtering for linear Gaussian systems with arbitrary unknown inputs assume perfect knowledge of the noise covariances in the filter design. This is imprac…
Active Information Acquisition under Arbitrary Unknown Disturbances
Jennifer Wakulicz, He Kong, Salah Sukkarieh
Trajectory optimization of sensing robots to actively gather information of targets has received much attention in the past. It is well-known that under the assumption of linear Ga…
Experimental Evaluation of a Hierarchical Operating Framework for Ground Robots in Agriculture
Stuart Eiffert, Nathan D. Wallace, He Kong +2
For mobile robots to be effectively applied to real world unstructured environments -- such as large scale farming -- they require the ability to generate adaptive plans that accou…
Resource and Response Aware Path Planning for Long-term Autonomy of Ground Robots in Agriculture
Stuart Eiffert, Nathan D. Wallace, He Kong +2
Achieving long-term autonomy for mobile robots operating in real-world unstructured environments such as farms remains a significant challenge. This is made increasingly complex in…