16 citations · 20 across the 6 of their papers we have counts for
4 papers · 1 filter
Stone Soup Multi-Target Tracking Feature Extraction For Autonomous Search And Track In Deep Reinforcement Learning Environment
Jan-Hendrik Ewers, Joe Gibbs, David Anderson
Management of sensing resources is a non-trivial problem for future military air assets with future systems deploying heterogeneous sensors to generate information of the battlespa…
Deep Reinforcement Learning for Time-Critical Wilderness Search And Rescue Using Drones
Jan-Hendrik Ewers, David Anderson, Douglas Thomson
Traditional search and rescue methods in wilderness areas can be time-consuming and have limited coverage. Drones offer a faster and more flexible solution, but optimizing their se…
A Novel Methodology for Autonomous Planetary Exploration Using Multi-Robot Teams
Sarah Swinton, Jan-Hendrik Ewers, Euan McGookin +2
One of the fundamental limiting factors in planetary exploration is the autonomous capabilities of planetary exploration rovers. This study proposes a novel methodology for trustwo…
Enhancing Reinforcement Learning in Sensor Fusion: A Comparative Analysis of Cubature and Sampling-based Integration Methods for Rover Search Planning
Jan-Hendrik Ewers, Sarah Swinton, David Anderson +2
This study investigates the computational speed and accuracy of two numerical integration methods, cubature and sampling-based, for integrating an integrand over a 2D polygon. Usin…